Publications

(Category Year)

 Book

Jouranl

International Conference

Others

Patents

 


Books or Chapter

1.      党 建武 (2015)音声合成技術の現状と展望(総説), 進化するヒトと機械の音声コミュニケーション,(株式会社ニッケイ印刷, ISBN978-4-86469-065-2,  p125-140

2.      Fang, Q., Dang, J., Perrier, P., Wei, J., Wang, L., Yan, N. (Eds.). Studies on Speech Production, Springer, 2018

3.      Donna Erickson, Takaaki Shochi, Caroline Menezes and Jianwu Dang (2014). “Observations About Articulatory, Acoustic and Perceptual Characteristics of Laugh and Smile Speech in Comparison with Sad and Neutral Speech”  In Trouvain, Jόrgen & Campbell, Nick (eds.), Phonetics of Laughing, 1–29, Universaar – Saarland University Press: Saarbrόcken, Germany.

4.      李爱军、党建武、方强,語言文化背景與多模態情感表達和感知,In 石锋、彭刚主编,《大江东去--王士元教授80岁贺寿文集》,香港城市大学出版社,2013. P306-332ISBN 978-962-937-220-0.

5.      Qiang Fang, Jianwu Dang (2009, 7) “Physiological Articulatory Model for Investigating Speech Production: modeling and Control,” ISBN-NR. 978-3639173871, VDM Verlag

6.      L. Deng and J. Dang (2007) “Speech Analysis: The Production-Perception Perspective”  in Advances in Chinese Spoken Language Processing, C. H. Lee, et al., World Scientific, 1-32

 

Journal Papers

1.      Cao Jinxin, Jin Di, Yang Liang, Dang Jianwu(2018) Incorporating network structure with node contents for community detection on large networks using deep learning, Neurocomputing, Volume 297, 5 July 2018, Pages 71-81

2.      Zeyan Oo, Longbiao Wang, Khomdet Phapatanaburi, Masahiro Iwahashi, Seiichi Nakagawa, Jianwu Dang, (2018) Phase and reverberation aware DNN for distant-talking speech enhancement, Multimed Tools Appl 77:18865–18880, https://doi.org/10.1007/s11042-018-5686-1.

3.      Jinxin Cao, Hongcui Wang, Di Jin, Jianwu Dang, Combination of links and node contents for community discovery using a graph regularization approach, Future Generation Computer Systems, DOI: 10.1016/j.future.2018.08.009

4.      Wei Feng, Xuecheng Nie, Yujun Zhang, Lei Xie, Jianwu Dang, Unsupervised measure of Chinese lexical semantic similarity using correlated graph model for news story segmentation,  Neurocomputing, 2018, pp.236-247

5.      Wenhuan Lu, Zonglei Chen, Ling Li, Xiaochun Cao, Jianguo Wei, Naixue Xiong, Jian Li and Jianwu Dang, Watermarking Based on Compressive Sensing for Digital Speech Detection and Recovery, Sensors 2018, 18(7), 2390

6.      Zhao B, Dang J, Zhang G (2017). EEG Source Reconstruction Evidence for the Noun-Verb Neural Dissociation along Semantic Dimensions[J]. Neuroscience, 2017, 359.

7.      Zhichao Peng, Qinghua Hu, Jianwu Dang (2017). Multi-kernel SVM based depression recognition using social media data International Journal of Machine Learning and Cybernetics1-15

8.      Lu W, Zhang J, Zhao X, J. Wang, J. Dang (2017). Multimodal sensory fusion for soccer robot self-localization based on long short-term memory recurrent neural network[J]. Journal of Ambient Intelligence & Humanized Computing, 2017, 8(11): 885–893.

9.      Wang J, Zhang J, Lu W, et al. Automatic speech recognition with robot noise[J]. Qinghua Daxue Xuebao/journal of Tsinghua University, 2017, 57(2):153-157.

10.   Wang G, Dang J, Kong J. Modeling of the tongue tip in Standard Chinese using MRI[J]. Qinghua Daxue Xuebao/journal of Tsinghua University, 2017, 57(2):158-163.

11.   于广川, 贺瑞芳, 刘洋, 党建武. 融合语境分析的时序推特摘要方法. 软件学报, 2017(10):2654-2673.

12.   Jianwu Dang, Jianguo Wei, Kiyoshi Honda, and Takayoshi Nakai (2016). “A study on transvelar coupling for non-nasalized sounds,” J. Acoust. Soc. Am. 139 (1),  441–454, January 2016

13.   Jianrong Wang, Ju Zhang, Kiyoshi Honda1, Jianguo Wei, Jianwu Dang, “Audio‑visual speech recognition integrating 3D lip information obtained from the Kinect” Multimedia Systems (2016) 22:315–323

14.   Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang. “Twitter summarization with social-temporal context.” World Wide Web-internet & Web Information Systems, 2016:1-24.. 2016, 4, pp 1-24.

15.   Jianguo Wei, Jiang Han, Qingzhi Hou, Jianwu Dang(2016). SPH simulations of aeroacoustic problems in vocal tracts[J]. J Tsinghua Univ (Sci & Technol), 2016, Vol. 56, No.11.

16.   Shili Peng, Qinghua Hua, Yinli Chen, Jianwu Dang (2015) Improved support vector machine algorithm for heterogeneous data, Pattern Recognition, 48, 6, 2072-2083

17.   X. Wu, J. Dang, (2015)“A control strategy of a physiological articulatory model for speech production,”Journal of Chinese Linguistics, VOL.43, NO.1B, 337-363 | 10.1353/jcl.2015.0038

18.   Jianguo Wei, Wenhuan Lu, Xinyuan Zheng, Qingzhi Hou, Qiang Fang, Jianwu Dang, (2015) “Mapping Ultrasound-based Articulatory Images and Vowel Sounds with a DNN Framework,” Multimedia Tools and Applications, DOI: 10.1007/s11042-015-3038-y.

19.   Liang Ma, Pascal Perrier, and Jianwu Dang (2015). “Strength of syllabic influences on articulation in Mandarin Chinese and French: Insights from a motor control approach.” Journal of Phonetics, 53, pp.101-124.  doi:10.1016/j.wocn.2015.09.005

20.   Suemitsu, A., Dang, J., Ito, T., Tiede, M., (2015) “A real-time articulatory visual feedback approach with target presentation for second language pronunciation learning,”J. Acoust. Soc. Am. 138, EL382; http://dx.doi.org/10.1121/1.4931827

21.   Jianguo Wei, Song Wang, Qingzhi Hou, and Jianwu Dang (2015)“Generalized Finite Difference Time Domain Method and Its Application to Acoustics,”Mathematical Problems in Engineering, Volume 2015, Article ID 640305, 13 pages, http://dx.doi.org/10.1155/2015/640305

22.  Di Jin, Bogdan Gabrys, and Jianwu Dang (2015). “Combined node and link partitions method for finding overlapping communities in complex networks,” Scientific Reports 5, Article number: 8600: DOI: 10.1038/srep08600

23.   Jianwu Dang, Qinghua Hu*, and Hui Feng (2014). “Chinese speech information processing in the Internet age: From representation to understanding,” Published in Science; 2014 Supplement, p53-58.

24.   Qiang Li, Yahong Han, Jianwu Dang (2014) Image decomposing for imprinting using compressed sensing in DCT domain. Frontiers of Computer Sciences (FCS), 8(6): 905–915

25.   X. Wu, J. Dang, and I. Stavness (2014). “An iterative method to estimate muscle activation based on a physiological articulatory model," Acoust. Sci. Tech., 35, 201-212.

26.   Songgun Hyon, Jianwu Dang, Hui Feng, Hongcui Wang, Kiyoshi Honda (2014). “Detection of speaker individual information using a phoneme effect suppression method,” Speech Communication, 57, 87–100.

27.   An Shuang, Shi Hong, Hu Qinghu, Li Xiaoqi, Dang Jianwu (2014) "Fuzzy rough regression with application to wind speed prediction", Inf. Sci., Oct. 388-400.

28.   Sai Chen, Hongcui Wang, Jia Jia, Yeteng An, and Jianwu Dang (2013). "Comparison of Mel Frequency Cepstrum Coefficient and Perceptual Linear Predictive in Perceptual Measurement of Chinese Initials." Applied Mechanics and Materials 411-414: 291-297. EI20134416919925

29.   Huang Dian, Wang Hongcui, Wei Jianguo, Dang, Jianwu "Three-Dimensional Tongue Modeling Based on PCA for Visualized Pronunciation Feedback", Commun. Comput. Info. Sci., 2013, 620-627

30.   Baolin Liu, Yanfei Lin, Xiaorong Gao, Jianwu Dang, Correlation between audio-visual enhancement of speech in different noise environments and SNR: A combined behavioral and electrophysiological study, Neuroscience, 247, 2013, pp.145-151. (SCI)

31.   Baolin Liu, Guangning Wu, Xianyao Meng, Jianwu Dang, Correlation between prime duration and semantic priming effect: Evidence from N400 effect, Neuroscience, 238, 2013, pp.319-326. (SCI)

32.   Baolin Liu, Xianyao Meng, Guangning Wu, Jianwu Dang (2013) “Correlation between three-dimensional visual depth and N2 component: Evidence from event-related potential study”, Neuroscience, Vol. 237, 161-169.

33.   D. Ying, Y. Yan, J. Dang, and F. Soong (2011) "Voice Activity Detection Based On An Unsupervised Learning Framework"IEEE Trans. Audio, Speech and Language ProcessingVol. 19, No.8, 2624 - 2633

34.   Kazuya Fujii, Qiang Fang and Jianwu Dang (2011) "Investigation of Auditory-Guided Speech Production while Learning Unfamiliar Speech Sounds" Journal of Signal Processing, Vol. 15, No. 4, pp.287-290

35.   Xiyu Wu, Jianguo Wei and Jianwu Dang (2011) "Study of Control Strategy Mimicking Speech Motor Learning for a Physiological Articulatory Model" Journal of Signal Processing, Vol. 15, No. 4, pp.295-298

36.   A. Nishikido and J. Dang. (2011) “A model-based investigation on one-to-many relationship between speech sound and articulations,”  J. Acoust. Soc. Jpn, Vol.67, No.1, pp.1-12, (In Japanese)

37.   J. Dang, A. Li, D. Erickson, A. Suemitsu, M. Akagi, et. al (2010) “Comparison of Emotion Perception among Different Cultures,” Acoustics of Science and Technology, Vol.31, No.6, pp.394-402.

38.   Xugang Lu, and Jianwu Dang, (2010) “Vowel Production manifold: intrinsic factor analysis of vowel articulation,” IEEE Trans. Audio, speech and language processing, Vol. 18, No.5, pp.1053-1062.

39.   Honda, K., Kitamura, T., Takemoto, H., Adachi, S., Mokhtari, P., Takano, S., Nota, Y., Hirata, H., Fujimoto, I., Shimada, Y., Masaki, S., Fujita, S., and Dang, J. (2010) “Visualisation of hypopharyngeal cavities and vocal-tract acoustic modelling,” Computer methods in Biomechanics and Biomedical Engineering. 13 (4), pp. 443-453,

40.   FANG Qiang, Akikazu Nishikido, Jianwu Dang, (2009) "Feedforward Control of a 3D Physiological Articulatory Model for Vowel Production", TSINGHUA SCIENCE AND TECHNOLOGY, Vol.14, No.5.

41.   Dongwen Ying, Masashi Unoki, Xugang Lu, Jianwu Dang, (2009) “Speech Enhancement based on Noise Eigenspace Projection”  IEICE Transactions on Information and Systems, E92-D  No.5  pp.1137-1145

42.   Qiang Fang, Satoru Fujita, Xugang Lu, Jianwu Dang, (2009) “A model-based investigation on activation of the tongue muscles in vowel production” Acoustics of Science and Technology, 30, 4, pp.277-287.

43.   Wang, G., Lu, X., Dang, J., Bao, H., Kong, J. (2009) “A Study of Mandarin Chinese Using X-ray and MRI”, Journal of Chinese Phonetics, 2, pp.51-58.

44.   Fang, Q., Fujita, S., and Dang, J. (2009) "Investigation of functions of tongue muscles for model control", Journal of Chinese Phonetics, 2, pp.34-42.

45.   L., Ma, P., Perrier, J., Dang, (2009) “An experimental and modeling study of anticipatory coarticulation in VCV sequences”, Journal of Chinese Phonetics, 2, pp.82-89.

46.   Xugang Lu and Jianwu Dang. (2008) “An investigation of dependencies between frequency components and speaker characteristics for text-independent speaker identification”, Speech Communication, 50, 312-322

47.   G. WANG, T. KITAMURA, X. LU, J. DANG, J. KONG, (2008) “MRI-based Study on Morphological and Acoustic Properties of Mandarin Sustained Vowels,” J. Signal Processing, Vol. 12, No. 4, pp.311-314.

48.   三井 石川 智治 建武宮原 (2008)“ディジタルオーディオにおける深い感性に関連した音質劣化の原因究明~jitterに起因する音質劣化の仕組みの解明と新改善方法の検討~”、日本感性工学会研究論文集,第74号,pp. 759-764.

49.   平井,竹本,本多,党 (2008)”3 次元MRI 動画と実音声を用いた声道断面積モデルのパラメータ推定”, 日本音響学会誌, Vol. 64, No. 4, pp.216-228

50.   Jianwu Dang, (2007) “Speech production and its modeling,”  Journal of Chinese Phonetics, Vol. 1, 10-22

51.   Satoru Fujita, Jianwu Dang, Noriko Suzuki, Kiyoshi Honda (2007) “A Computational Tongue Model and its Clinical Application,” Oral Science International, 4 (2), 97-109.

52.   Dongwen Ying, Yu Shi, Xugang Lu, Jianwu Dang, and Frank Soong. (2007), “Robust Voice Activity Detection based on Noise Eigenspace,” Acoustics of Science and Technology, 28, 6, pp.413-424.

53.   Jianguo Wei, Xugang Lu and Jianwu Dang. (2007) "A model-based learning process for modeling coarticulation of human speech", IEICE Transactions on Information and Systems, E90-D, 1582-1591

54.   Dang, J., Akagi, K. and Honda, K. (2006) “Communication between Speech Production and Perception within the Brain -Observation and Simulation–“, J. Computer Science and Technology, 21(1), 95-105

55.   Markov, K., Dang, J., and Nakamura, S. (2006) “Integration of Articulatory and Spectrum Features based on the Hybrid HMM/BN Modeling Framework,” Speech Communication, Vol 48, 2, 161-175.

56.   野添潤一,五味裕章, 党建武 本多清志2005“リアルな発話運動を実現する生理学的口唇力学モデルの構築”電子情報通信学会論文誌A, 88(9), 1944-1953

57.   Lu, X., Dang, J. (2005). " Speech recognition based on a combination of acoustic features with articulatory information", Journal of Acoustics (E), Vol.24, No.3, pp.271-279

58.   Dang, J. and Honda, K. (2004) “Construction and control of a physiological articulatory model,” Journal of Acoustical Society of America,  115(2), 853-870

59.  Dang, J., Honda, M., and Honda, K., (2004) "Investigation of coarticulation in continue speech in Japanese", Acoustical Science and Technology,25, 5, 318-329 (2004).

60.  Lu, X. Dang J. (2004) "Robust speech features representation based on computational auditory model", Journal of Acoustics (E), No.4, Vol.23, pp.316-324.

61.   Dang, J. and Honda, K. (2002) " Estimation of vocal tract shape from sounds via a physiological articulatory model," J. Phonetics, 30, 511-532

62.   党 建武、正木信夫:(2002) “母音の音源に関する生理と物理及びモデル化” 日本音響学会誌, 58, 426-437

63.   Dang, J. and Honda, K. (2001) "A physiological model of a dynamic vocal tract for speech production," J. Acoust. Soc. Jpn (E), 22, 415-425

64.   Dang, J., Shadle, C., Kawanishi, Y., Honda, K., and Suzuki, H. (1998.8) "An experimental study of the open end correction coefficient for side branches with an acoustic tube," J. Acoust. Soc. Am. 104, 2, 1075-1084.  

65.   Dang, J., and Honda, K. (1997). "Acoustic characteristics of the piriform fossa in models and humans," J. Acoust. Soc. Am. 101, 456-465.

66.   Dang, J., and Honda, K. (1996). "Acoustic characteristics of the human paranasal sinuses derived from transmission characteristic measurement and morphological observation," J. Acoust. Soc. Am. 100, 3374-3383.  

67.   Dang, J, and Honda, K. (1996): "A new method for measuring anti-resonance details of the vocal transmission characteristics -- an experimental study of acoustic tube", J. Acoust. Soc. Jpn (E), 17, pp. 93-99.  

68.   平井,党,本多 (1995): "舌と喉頭との相互作用を考慮した発話器官の生理学モデル",日本音響学会誌 51, 12, 918-928.  

69.   Dang, J., Honda, K. and Suzuki, H. (1994). "Morphological andacoustical analysis of the nasal and the paranasal cavities,"J. Acoust. Soc. Am. 96, 2088-2100.

70.   党 建武、中井孝芳、鈴木久喜 (1993): ”破裂子音における口腔内圧及び放射音圧の測定とシミュレーション” 日本音響学会誌 Vol. 49, No.5, 313-320.

71.   党 建武、中井孝芳、鈴木久喜 (1992)”声道内音圧及び頬の振動加速度による頬インピーダンスの測定” 日本音響学会誌  Vol.48, No.9, 621-628.

72.   党 建武、中井孝芳、鈴木久喜 (1992)”有声破裂子音における口腔内音圧と鼻孔からの放射の測定とシミュレーション” 静岡大学電子科学研究科研究報告  Vol.13, 29-38.

73.   鈴木久喜、党 建武、中井孝芳 (1991)”非鼻音化音声における鼻孔放射音圧の測定と 鼻腔口腔間の音響漏洩のシミュレーション” 電子通信学会論文誌 J74-A, 12, 1705-1714.

74.   党 建武、中井孝芳、鈴木久喜 (1991)”連続音声発声時の鼻孔からの放射音圧の文脈による変化の測定” 電子通信学会論文誌 J74-A, 7, 1121-1124.

75.  党 建武、 文虎 (1987):”时域上基于规则的汉语语音合成研究” 天津大学学報 87 No.1, 101-108 .

76.  建武 (1987):”实用汉语语音合成系统的研究”小型微型计算机系统Vol.8 No.10, 41-50.

77.  党 建武、王 (1987):”长距离实时通信网络中PC系统的研究” 小型微型计算机系统 Vol.8 No.10, 17-23 .

78.  詹庆苏、党 建武 (1987):” 长距离实时通信网络中主机计算机系统的研究” 小型微型计算机系统 Vol.8 No.10 pp.8-16.

79.  、党 建武 (1987):”星状计算机网络管理系统的研究” 小型微型计算机系统 Vol.8 No.10 pp.1-7.

 

 Top



International Conference Papers

 

1.       Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang. Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics, AAAI-18

2.       Cao J., Jin D., Dang J. (2018) Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents. In: Liu W., Giunchiglia F., Yang B. (eds) Knowledge Science, Engineering and Management. KSEM 2018. Lecture Notes in Computer Science, vol 11062. Springer, Cham

3.       L. Guo, L. Wang, J. Dang, et al. (2018). “FEATURE FUSION METHOD BASED ON EXTREME LEARNING MACHINE FOR SPEECH EMOTION RECOGNITION”, ICASSP, April, 15-20, 2018 Calgary, Canada

4.       Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, and Xiangang Li. Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning. COLING2018, pages: 547-558.

5.       Bin Zhao, Jinfeng Huang, Jianwu Dang, Gaoyan Zhang, et al. Revealing Spatiotemporal Brain Dynamics of Speech Production Based on EEG and Eye Movement. INTERSPEECH, Sep. 2-6,2018, Hyderabad, India.

6.       Dongbo Li, Longbiao Wang, Jianwu Dang, Meng Liu, et al,  Multiple Phase Information Combination for Replay Attacks Detection. INTERSPEECH, Sep. 2-6,2018, Hyderabad, India.

7.       Lili Guo, Longbiao Wang, Jianwu Dang, Linjuan Zhang, et al. Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network. INTERSPEECH, Sep. 2-6,2018, Hyderabad, India.

8.       Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, and Qiang Yu, Gender-Aware CNN-BLSTM for Speech Emotion Recognition, ICANN, 4-7 Oct., 2018, Rhodes, Greece

9.       Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo and Haotian Guan Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition, ICONIP, 13-16, Dec, 2018, Siem Reap, Cambodia

10.    Qiang Yu, Longbiao Wang and Jianwu Dang, Efficient Multi-Spike Learning with Tempotron-like LTP and PSD-like LTD, ICONIP, 13-16, Dec, 2018, Siem Reap, Cambodia

11.    Dongbo Li, Longbiao Wang, Jianwu Dang, Meng Ge and Haotian Guan Distant-talking Speech Recognition Based on Multi-objective Learning using Phase and Magnitude-based FeatureISCSLP, 26-29, Nov., 2018, Taibei

12.    Di Zhou, Jinfeng Huang and Jianwu DangInvestigation of the Comprehension Process during Silent Reading based on Eye Movements, ISCSLP, 26-29, Nov., 2018, Taibei

13.    Jianwu Dang, Qingzhi Hou, Futang Wang, A study of sound propagation in ducts with a moving wall, Euronoise2018, 27-31 May, Crete, Greece

14.    Meng Liu, Longbiao Wang, Zeyan Oo, Jianwu Dang, Replay Attacks Detection Using Phase and Magnitude Features with Various Frequency Resolutions, ISCSLP, 26-29, Nov., 2018, Taibei

15.    Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li, Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention, Proceedings of the 27th International Conference on Computational Linguistics, pages 1398–1409, Santa Fe, New Mexico, USA, August 20-26, 2018.

16.    Wang J, Zhang J, Lu W, et al. Automatic speech recognition with robot noise[J]. Qinghua Daxue Xuebao/journal of Tsinghua University, 2017, 57(2):153-157.

17.    Wang G, Dang J, Kong J. Modeling of the tongue tip in Standard Chinese using MRI[J]. Qinghua Daxue Xuebao/journal of Tsinghua University, 2017, 57(2):158-163.

18.     Wang L, Phapatanaburi K, Go Z, et al. Phase aware deep neural network for noise robust voice activity detection[C]// IEEE International Conference on Multimedia and Expo. IEEE Computer Society, 2017:1087-1092.

19.    Wang J, Gao Y, Zhang J, et al. Automatic speech recognition by a Kinect sensor for a robot under ego noises[J]. Qinghua Daxue Xuebao/journal of Tsinghua University, 2017, 57(9):921-925.

20.    Yu Q, Wang L, Dang J. Neuronal Classifier for both Rate and Timing-Based Spike Patterns[C]// International Conference on Neural Information Processing. Springer, Cham, 2017:759-766.

21.    Zhao C, Wang L, Dang J. Phonemic Restoration Based on the Movement Continuity of Articulation[J].International Conference on Neural Information Processing, 2017.

22.    Peng S, Hu Q, Dang J, et al. Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM[C]// International Conference on Neural Information Processing. Springer, Cham, 2017:279-288.

23.    Shen T, Wang L, Chen X, et al. Exploiting the Tibetan Radicals in Recurrent Neural Network for Low-Resource Language Models[M]// Neural Information Processing. 2017.

24.    Zhang A, Feng H, Wang S, et al. Relationship between perception and production of English vowels by Chinese English learners[C]// International Symposium on Chinese Spoken Language Processing. IEEE, 2017:1-5.

25.    Chen Y, Kong W, Chi Y, et al. The singing voice before and after vocal warm-up by students of Chinese national singing[C]// International Symposium on Chinese Spoken Language Processing. IEEE, 2017:1-5.

26.    Zhao Bin(#); Gaoyan Zhang; Jianwu Dang(*), A Neuro-Experimental Evidence for the Motor Theory of Speech Perception., InterSpeech2017

27.    Futang Wang(#); Darcy Qingzhi Hou(*); Dingyi Pan; Jianguo Wei; Jianwu Dang(*), A hybrid method for acoustic analysis of the vocal tract during vowel production, International Seminar on Speech Production (ISSP), 2017, 2017.10.16-2017.10.19,

28.    Futang Wang(#); Darcy Qingzhi Hou; Jie Deng; Song Wang; Jianwu Dang(*), Particle interaction adaptivity and absorbing boundary conditions in the Lagrangian particle aeroacoustic model, International Seminar on Speech Production (ISSP), 2017, 2017.10.16-2017.10.19

29.    Cenxi Zhao(#); Longbiao Wang(*); Jianwu Dang(*); Ruiguo Yu, Prediction of F0 based on articulatory features using DNN, International Seminar on Speech Production (ISSP), 2017, 2017.10.16-2017.10.19

30.    Yuke Si(#); Jianwu Dang; Gaoyan Zhang(*), Global monitoring of dynamic functional interactions in the brain during Chinese verbs perception, International Seminar on Speech Production (ISSP), 2017, 2017.10.16-2017.10.19

31.    Meng Yuan(#); Longbiao Wang(*); Hongcui Wang; Jianwu Dang; Ruiguo Yu, Articulatory Features for Robust Intelligibility Assessment of Dysarthria Speech, International Seminar on Speech Production (ISSP), 2017, 2017.10.16-2017.10.19

32.    Jinfeng Huang; Di Zhou; Jianwu Dang, Estimation of Speech-planning mechanism based on eye movement, ISSP2017, 2017.10.16-2017.10.19

33.    Bin Zhao, Jianwu Dang, Gaoyan Zhang, “Investigation of Noun-Verb Dissociation Based on EEG Source Reconstruction”, APSIPA, 2016, Jeju, Korea

34.    Yu Chen, Ju Zhang, Fei Chen, Yanting Chen, Hua Lin, Jianguo Wei and Jianwu Dang “A New Method of Acceleration Measurement for Observing Tongue Movement in Ultrasound Image during Speech Production”, APSIPA, 2016, Jeju, Korea

35.    Yanting Chen, Yu Chen, Jin Zhang, Ju Zhang,eHua Lin, Jianguo Wei and Jianwu Dang “Mandarin Citation Tone Patterns of Prelingual Chinese Deaf Adults” APSIPA, 2016,  Jeju, Korea

36.    Yuke Si, Jianwu Dang, Gaoyan Zhang, “Investigation of the Spatiotemporal Dynamics of the Brain during Perceiving Words”, ISCSCLP 2016

37.    Bin Zhao, Jianwu Dang, Gaoyan Zhang, “EEG Evidence for a Three-Phase Recurrent Process during Spoken Word Processing”, ISCSLP 2016

38.    Shuanglin Fan, Kiyoshi Honda, Jianwu Dang, Hui Feng, “Effects of Subglottal-Coupling and Interdental-Space on Formant Trajectories during Front-to-Back Vowel Transitions in Chinese,” INTERSPEECH 2016, pp 2438-2442, Sept. 8–12, 2016, San Francisco, USA

39.    Jianguo Wei, Wendan Guan, Darcy Q. Hou, Dingyi Pan, Wenhuan Lu, Jianwu Dang, “A new model for acoustic wave propagation and scattering in the vocal tract,” INTERSPEECH 2016, pp 3574-3578, Sept. 8–12, 2016, San Francisco, USA

40.    Jianwu Dang, Shengbei Wang, Masashi Unoki, “Investigations into vowel and consonant structures in articulatory and auditory spaces using Lapalacian eigenmaps,” the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 20-25 March 2016, Shanghai, China.

41.    Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang, “Detect Overlapping Communities via Ranking Node Popularities,” The Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), February 12–17, 2016, Phoenix, Arizona USA.

42.    JianRong Wang, ChenLiang Wang, JianGuo Wei and Jianwu Dang, “Chinese Opera Genre Classification Based on Multi-feature Fusion and Extreme Learning Machine,” Proceedings of APSIPA Annual Summit and Conference 2015, P93-100, 16-19 December 2015, Hong Kong, China

43.    Xiaozhen Wang, Kiyoshi Honda, Jianwu Dang, Hongcui Wang and Jianguo Wei, “Influences of Auditory and Vibrotactile Information on Vocal F0 Responses,” Proceedings of APSIPA Annual Summit and Conference 2015, P160-164, 16-19 December 2015, Hong Kong, China

44.    Huixia Wang, Jianwu Dang, Hui Feng, Hongcui Wang, Yang Yu, Kiyoshi Honda, “Investigation of Learning Trajectory of Mandarin for Tibetan Speakers,” Proceedings of APSIPA Annual Summit and Conference 2015, P208-212, 16-19 December 2015, Hong Kong, China

45.    Hongcui Wang, Siyu Wang, Bruce Denby, Jianwu Dang, “Automatic Tongue Contour Tracking in Ultrasound Sequences without Manual Initialization,” Proceedings of APSIPA Annual Summit and Conference 2015, P200-204, 16-19 December 2015, Hong Kong, China

46.    Jingshu Zhang, Jianguo Wei, Wenhuan Lu, Qiang Fang, Kiyoshi Honda and Jianwu Dang, “Vowel Normalization by Articulatory Information,” Proceedings of APSIPA Annual Summit and Conference 2015, P217-221, 16-19 December 2015, Hong Kong, China

47.    Guancheng Li, Jianwu Dang, Gaoyan Zhang, Zhilei Liu, Hongcui Wang, “Investigation of relation between speech perception and production based on EEG source reconstruction,” Proceedings of APSIPA Annual Summit and Conference 2015, P499-504, 16-19 December 2015, Hong Kong, China

48.    H. Bao, W. Lu, K. Honda, J. Wei, Q. Fang, J. Dang, “Combined Cine- and Tagged-MRI for Tracking Landmarks on the Tongue Surface,” INTERSPEECH, Sept., 2015, P359-363, Dresden, Germany.

49.    W. Bao, H. Feng, J. Dang, Z. Liu, Y. Yu, S. Wang, “Perception of Mandarin Tones by Native Tibetan Speakers,” INTERSPEECH, Sept., 2015, P811-814, Dresden, Germany.

50.    Y. Chi, K. Honda, J. Wei, H. Feng, J. Dang, “Measuring Oral and Nasal Airflow in Production of Chinese Plosive,” INTERSPEECH, Sept., 2015, P2167 – 2171, Dresden,  Germany.

51.    H. Wang, D. Jin, L. Li, J. Dang, “Community Detection with Manifold Learning on Speaker i-Vector Space for Chinese,” INTERSPEECH, Sept., 2015, P3021 – 3025, Dresden, Germany.

52.    X. Wang, K. Honda, J. Dang, J. Wei. “VOCAL RESPONSES TO FREQUENCY MODULATED COMPOSITE SINEWAVES VIA AUDITORY AND VIBROTACTILE PATHWAYS,” 40th ICASSP, Apr. 2015, Brisbane, Australia.

53.    T. Li, K. Honda, J. Wei, J. Dang. “A lip protrusion mechanism examined by magnetic resonance imaging and finite element modeling,” 18th ICPhS, Aug, 2015, Glasgow, UK

54.    A. Zhang, H. Feng, X. Zheng, Z. Xu, J. Dang. “The perception of English vowel contrasts by Chinese EFL learners and native English speakers” 18th ICPhS, Aug, 2015, Glasgow, UK

55.    Dang, “Relation between laryngeal movements and fundamental frequency,” 1st International Conference on Prosodic Studies: Challenges and Prospects, Jun. 12-14, 2015, Tianjin, China (Invited Talk)

56.    Dang, “Estimation of Vocal Tract Shape from Speech Sounds via a Physiological Articulatory Model,” China-Germany Joint Symposium on Speech Technology, May, 18-19, 2015, Shanghai (Invited talk).

57.    H. Yan, Jianwu Dang, M. Cao and B. J. Krφger, "A New Framework of Neurocomputational Model for Speech Production", ISCSLP, Sept. 2014, Singaporec

58.    Yuan Ma, Jianwu Dang, Weifeng Li "Research on Deep Neural Network's Hidden Layers in Phoneme Recognition", ISCSLP, Sept. 2014, Singapore

59.    Chengran Zhang, Jianwu Dang, Jianan Zhang, Jianguo Wei, "Investigation on Articulatory and Acoustic Characteristics of Dysarthria", ISCSLP, Sept. 2014, Singapore

60.    Jianan Zhang, Jianguo Wei , Chengran Zhang, Dian Huang, Jianwu Dang, "Visualization of Mandarin Articulation Driven by Ultrasound Data", ISCSLP, Sept. 2014, Singapore

61.    Xinyuan Zheng, Jianguo Wei, Wenhuan Lu, Qiang Fang, Jianwu Dang, "Mapping Between Ultrasound and Vowel Speech Using DNN Framework", ISCSLP, Sept. 2014, Singapore

62.    Jianrong Wang, Ju Zhang, Jianguo Wei, Wenhuan Lu, Jianwu Dang, "Automatic Speech Recognition under Robot Ego Noises", ISCSLP, Sept. 2014, Singapore

63.    Qiang Li, Yahong Han, Jianwu Dang. Locality Preserving Hashing Method for Image Retrieval. ACM ICIMCS, Xiamen, China, Jul 10-12, 2014 (EI)

64.    Jianwu Dang, Chen Zhao, Jianguo Wei, Kiyoshi Honda “A Study of Nasal Coupling for Non-Nasalized Sounds”10TH International Seminar on Speech Production ( ISSP ), 82-85, COLOGNE, 5 – 8 MAY 2014

65.    Kiyoshi Honda, Jianguo Wei, Jianwu Dang, “Toward a Model of the Pharynx” 10TH International Seminar on Speech Production ( ISSP ), 198-201, COLOGNE, 5 – 8 MAY 2014

66.    Li, Aijun, Fang, Qiang, Jia, Yuan, and Dang, Jianwu., Emotional McGurk Effect? A Cross-Cultural Investigation on Emotion Expression under Vocal and Facial Conflict, In M. Sun et al. (Eds.): CCL and NLP-NABD 2013. (EI)

67.    Li, Aijun, Jia, Yuan, Fang, Qiang, and Dang, Jianwu, Emotional Intonation Modeling: a Cross-Language Study on Chinese and Japanese, APSIPA 2013. (EI)

68.    N. Nishimura, S. Kawamoto, J. Dang, and K. Honda, “Selection of reliable control points for constructing personalized physiological articulatory models,” Proc. 2014 RISP International Workshop in Nonlinear Circuits, Communications and Signal Processing (NCSP’14), 1PM2-3-4, pp.233-236, March 2014 (Hawaii, USA).

69.    D. Huang, X. Wu, J. Wei, H. Wang, C. Song, Q. Hou, J. Dang, “Visualization of Mandarin Articulation by using a Physiological Articulatory Model”, APSIPA, Oct. 2013, KaohsiungEI

70.    Sai Chen, Hongcui Wang, Jia Jia, and Jianwu Dang. "A New Method for the Objective Perceptual Measurement of Chinese Initials." APSIPA, Oct. 2013, KaohsiungEI

71.    X. Chen, J. Dang, H. Yan, Q. Fang, B. Kroger, “A Neural Understanding of Speech Motor Learning,”  APSIPA, 2013, KaohsiungEI

72.     Kiyoshi Honda, Emi Z. Murano, Sayoko Takano, Shinobu Masaki and Jianwu Dang, “ Anatomical considerations on the extrinsic tongue muscles for articulatory modeling,” J. Acoust. Soc. Am. 133, 3607 (2013); http://dx.doi.org/10.1121/1.4806706

73.     Kiyoshi Honda, Emi Z. Murano, Sayoko Takano, Shinobu Masaki and Jianwu Dang “Anatomical considerations on the extrinsic tongue muscles for articulatory modeling,” POMA 19, 060270 (2013); http://dx.doi.org/10.1121/1.4800262

74.    Nana Nishimura, Shin’ichi Kawamoto, Jianwu Dang, and Kiyoshi Honda “Morphological personalization of a physiological articulatory model”,  APSIPA, Oct. 2013, KaohsiungEI

75.    Hong Liu, Jianguo Wei, Wenhuan Lu, Qiang Fang, Liang Ma and Jianwu Dang, "Morphological Normalization: A Study of Vowels for Mandarin and Japanese"APSIPA  ASC, 2013.(EI)

76.    Jianwu Dang Multiple Language Processing based on the Mechanism of Speech Production The 14th symposium on Chinese Minority Language Information Processing Lanzhou, China 2013/09/13-15

77.    Yuguang Wang, Jianwu Dang, Xi Chen, Jianguo Wei, Hongcui Wang, Kiyoshi HondaAn MRI-based Acoustic Study of Mandarin Vowels INTERSPEECH 2013 Lyon, France 2013/08/26-29

78.    Shen Liu, Jianguo Wei, Xin Wang, Wenhuan Lu, Qiang Fang and Jianwu DangAn Anisotropic Diffusion Filter Based on Multidirectional Separability INTERSPEECH 2013 Lyon, France 2013/08/26-29

79.    Jianwu DangOpportunities and Challenges of speech information processing in the Internet age National Conference on Man-Machine Speech Communication (NCMMSC2013), Guiyang, China 2013/08/5-7

80.    Chen Zhao, Jianwu Dang, Jianguo Wei, Kiyoshi HondaINDIVIDUAL VARIATION OF MOPHOLOGICAL AND ACOUSTIC EFFECTS OF THE NASAL TRACT IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2013) Beijing, China 2013/07/09

81.    Chen Liu, Jianguo Wei, Bo Feng, Jianwu Dang, “An Anisotropic Diffusion Filter for Reducing Speckle Noise of Ultrasound Images Based on Separability”, APSIPA, 2012 Hoolywood.

82.     Chan Song, Jianguo Wei, Qiang Fang, Yuguang Wang, Jianwu Dang, “Tongue Shape synthesis based on Active Shape Model”, ISCSLP 2012, Hong Kong, 2012

83.     Chen Zhao, Hongcui Wang, Songgun Hyon, Jianguo Wei, Jianwu Dang, “ Efficient feature extraction of speaker identification using phoneme mean F-ratio for Chinese”, ISCSLP 2012, Hong Kong, 2012

84.    Yuguang Wang, Hongcui Wang, Jiaqi Gao, Jianguo Wei, Jianwu Dang ,”Detailed morphological analysis of Mandarin sustained vowels,” ISCSLP, Dec. 2012, Hongkong. (accepted)

85.    Yuguang Wang, Hongcui Wang, Jianguo Wei, Jianwu Dang ,” Mandarin vowel synthesis based on 2D and 3D vocal tract model by finite-difference time-domain method,” APSIPA ,Dec.2012, Hoolywood. (accepted)

86.    Songgun Hyon, Hongcui Wang, Jianwu Dang, “A research of dependencies between frequency components and speaker characteristics based on phoneme mean F-ratio contribution”,  ISCSLP 2012, Hong Kong, 2012

87.     Songgun Hyon, Hongcui Wang, Chen Zhao, Jianguo Wei, Jianwu Dang, “A method of speaker identification based on phoneme mean F-ratio contribution”,  Interspeech, Portland, USA, 2012,9

88.    Aijun Li, Qiang Fang, Jianwu Dang. Emotional Expressiveness of Successive Addition Boundary Tone in Mandarin Chinese. Speech Prosody 2012. Shanghai.

89.    Aijun Li, Qiang Fang, Yuan Jia and Jianwu Dang. Successive Addition Boundary Tone in Chinese Disgust Intonation, NACCL24, San Francisco, 2012.

90.    Yuguang Wang, Hongcui Wang, Jianguo Wei, and Jianwu Dang (2012,3), "Acoustic analysis of the vocal tract from a 3D physiological  articulatory model by finite-difference time-domain method," The International Conference on Automatic Control and Artificial Intelligence, Volume 5, pp. 3265-3269,Xiamen, China, March 24-26 , 2012. (EI)

91.     Dongwen Ying, Xugang Lu, Junfeng Li, Yonghong Yan, Jianwu Dang, Frank Soong (2012,3) “Noise Estimation Using a Constrained Sequential HMM In Log-Spectral Domain,” ICASSP 2012, Kyoto, Japan.

92.     Kazuya Fujii, Atsuo Suemitsu, Jianwu Dang, “Investigation of perceptual effects during learning process via vowel imitation,” Proc. 2012 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'12), pp.393-396, March 2012.

93.     Nana Nishimura, Shin-ichi Kawamoto and Jianwu Dang, “Morphological personalization according to human mechanism using MR images,” Proc. 2012 RISP International workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP12), pp. 497-498, March 2012.

94.     Dongwen YING, Yonghong YAN, Jianwu DANG, Frank K. SOONG, (2011,12), “Noise Power Estimation Based on a Sequential Hidden Markov Modelthe 8th International Conference on Information, Communications and Signal Processing (ICICS 2011), Singapore, December, 2011.

95.    Li, A., Fang, Q. & Dang, J. , “Emotional intonation in a tone language: experimental evidence from Chinese , ”, Hong Kong,  China, 2011, 8

96.     X. WU, Q. FANG and J. DANG (2011) “Inverse estimation of motor command based on a 3D physiological articulatory model,” Spring Meeting of Acoustic Society of Japan, 2011,3,9,Tokyo, Japan

97.     Dongwen Ying, Yonghong Yan, Jianwu Dang and Soong Frank, Noise Power Estimation Based on a Sequential Gaussian Mixture Model, in: the 4th International Conference on Image and Signal Processing, pages 2388-2391, 2011

98.     Dongwen Ying, Junfeng Li, Qiang Fu, Yonghong Yan and Jianwu Dang, Voice Activity Detection Based on a Sequential Gaussian Mixture Model, in: the APSIPA Annual Summit and Conference 2011, Xi'an, 2011

99.     Dongwen Ying, Yonghong Yan, Jianwu Dang and Soong Frank, Noise Power Estimation Based on a Sequential Hidden Markov Model, in: the 8th International Conference on Information, Communications and Signal Processing, Singapore2011

100. K. Fujii, Q. Fang, and J. Dang. (2011) “Investigation of Auditory-Guided Speech Production for during Learning a New Speech Sound”  RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP’11), 2011,3,1-4, Tianjin, China (Outstanding student paper award)

101. X. Wu, Q. Li, J. Wei, and J. Dang (2011)         “Simulation of Speech Babbling Based on a Physiological Articulatory Model” RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP’11), 2011,3,1-4, Tianjin, China (Outstanding student paper award)

102.  A. NISHIKIDO, S. KAWAMOTO and J. DANG, (2010,12)  “Discrimination between Natural and Unnatural Articulations based on Articulatory Structure”, Proc. ISCSLP 2010, pp, Tainan, Taiwan

103.A. LI, Q. FANG, F. HU, L. ZHENG, H. WANG and J. DANG, (2010,12)  “Acoustic and Articulatory Analysis on Mandarin Chinese Vowels in Emotional Speech” Proc. ISCSLP 2010, pp, Tainan, Taiwan

104.Y. WANG, J. DANG and L. CAI, (2010,12)  “Investigation of the Relation between Acoustic Features and Articulation - An Application to Emotional Speech Analysis” Proc. ISCSLP 2010, pp, Tainan, Taiwan

105.X. WU, Q. FANG and J. DANG, (2010,12) “Investigation of Muscle Activation in Speech Production Based on an Articulatory Model” Proc. ISCSLP 2010, pp, Tainan, Taiwan

106.  K. Fujii, J. Wei, A. Suemitsu, J. Dang, (2010,8) “The relationship between speech production and perception in the process of learning vowels,” The 7th International Conference on Cognitive Science, Beijing, China, August 17–20, 2010

107.  Jianguo Wei and Jianwu Dang, (2010,3) “MORPHOLOGICAL NORMALIZATION OF VOCAL TRACT SHAPE”, ICASSP 2010, 4186-4189  (with referee)

108.  Yongxin WANG, Jianwu DANG, Lianhong CAI (2010,3) “Investigate Acoustic Features of Emotional Speech with a Physiological Articulatory Model,” NSCP'10, Hawaii, Mar 3-5  (with referee)

109.  Y. YOSHIKAWA, I. TOKUDA, Y. WANG, J. DANG, (2010,3) "Analysis of acoustic features in emotional speech using the concept of modulation" NSCP'10, Hawaii, Mar 3-5  

110. Jianwu Dang (2009,10) “Investigation and simulation of human mechanism in speech communication,” The 5th Joint Conference on Harmonious Human-Machine Environment, Xi’an, China (Keynote speech)

111.  Jianwu DANG, Xugang LU (2009, 9) “INVESTIGATION OF THE RELATION BETWEEN SPEECH PRODUCTION AND PERCEPTION BASED ON A VOWEL STUDY,”  The Festschrift in honor of Prof. Wu

112.  Jianwu Dang, Mark Tiede, Jiahong Yuan. (2009,9) “Comparison of Vowel Structures of Japanese and English in Articulatory and Auditory Spaces,” InterSpeech2008, 2815-2818, Brighton, UK (with referee)

113.  Qiang Fang, Akikazu Nishikido, Jianwu Dang, Aijun Li (2009,9) “Feedforward Control of A 3D Physiological Articulatory Model for Vowel Production,” InterSpeech2008, 52-55, Brighton, UK (with referee)

114.  Jianwu Dang (2009,8) “A Perspective on Speech Technology Based on Human Mechanism,” NCMMSC09 and International Forum on Advanced Speech Technology, Lanzhou, China, (Invited Talk)

115.  Dang, J., Honda, Y. and Buchaillard, S. (2009). Modeling of swallowing mechanism based on MRI observation In 1st International Workshop on Dynamic Modeling of the Oral, Pharyngeal and Laryngeal Complex for Biomedical Applications (OPAL-2009), pages 57–60, Vancouver, Canada.

116.  Fang, Q., Nishikido, A., Dang, J., and Ho, T. B.  (2009,3)"Feedforward control of a 3D physiological articulatory model for the investigation of speech production," Proc. NCSP09, 169-172, Hawaii, USA.

117.  Aijun Li, Jianwu Dang, (2009, 2) “A Cross-Cultural Investigation on Emotion Expression under audio and visual Conflict Condition — Also an observation on Emotional McGurk Effect International symposium on biomechanical and physiological modeling and speech science, Kanazawa, I, 37-50.

118.  Fang, Q., Nishikido, A., and Dang, J. (2009, 2) "Forward control of a 3D physiological articulatory model for the investigation of speech production" International symposium on biomechanical and physiological modeling and speech science, Kanazawa, II, 72-77.

119.  Jianwu Dang, Xugang Lu, Mark Tiede, and Kiyoshi Honda (2008,12) “Inherent Vowel Structures in Speech Production and Perception Spaces,” International Seminars on Speech Production, pp. 37-40, Strasburg, France

120.  Wang, G., Dang, J., Kong, J. (2008, 9) “Estimation of Vocal Tract Area Function for Mandarin Vowel Sequences Using MRI”, InterSpeech2008, Brisbane, Australia, pp. 1182-1185

121.  Q. Fang, S. Fujita, X. Lu, J. Dang, (2008, 9) “A model based investigation of activation patterns of the tongue muscles for vowel production,” InterSpeech2008, Brisbane, Australia, pp. 2298-2301

122.  Jianguo Wei and Jianwu Dang, "Vocal tract normalization in articulatory space using thin-plate spline method", the second ASA-EAA joint conference Acoustics'08 Paris, Jun, 2008, pp 6135-6140.

123.   Wang, G., Lu, X., Dang, J., Bao, H., Kong, J. (2008, 4) “A Study of Mandarin Chinese Using X-ray and MRI”, The 8th Phonetics Conference of China and  the International Symposium on Phonetics Frontiers (PCC2008&ISPF2008), Beijing, (The Best Student Paper Award)

124.  Fang, Q., Fujita, S., Lu, X., and Dang, J. (2008.4) "Investigation of functional relationship of the tongue muscles for model control", The 8th Phonetic Conference of China (PCC2008) and the International Symposium on Phonetic Frontiers (ISPF2008), Beijing, pp.32

125.  Dang, J., Lu, X. (2008.4) “A perspective on the relation between speech production and perception based on a vowel study,” The 8th Phonetic Conference of China (PCC2008) and the International Symposium on Phonetic Frontiers (ISPF2008), Beijing, pp.32

126.  L., Ma, P., Perrier, J., Dang, (2008.4) “An experimental and modeling study of anticipatory coarticulation in VCV sequences”, The 8th Phonetic Conference of China (PCC2008) and the International Symposium on Phonetic Frontiers (ISPF2008), Beijing, pp.32

127.  Jianwu Dang, Asami Yokoe, and Satoru Fujita (2008,3), “Investigation of lingual muscle activities based on HARP-MRI and Model simulation,“ International Symposium on Biomechanics, Healthcare and Information Science, Kanazawa, Japan, pp.60-70

128.  A. Nishikido and J. Dang, (2008,3) "Investigation of usual and unusual articulation based on simulations and observations", Asian Workshop on Speech Science and Technology, SP2007-190, pp.23-28.

129.  Asami Yokoe, Satoru Fujita, Jianwu Dang, (2008, 3). “Investigation of lingual muscle activities based on HARP-MRI and Model simulationInternational Workshop on Nonlinear Circuit and Signal Processing, Australia, pp.33-36

130.  Xugang Lu and Jianwu Dang, (2008, 3). “Unsupervised statistical learning for vowel space”, International Workshop on Nonlinear Circuit and Signal Processing, Australia, pp.247-250

131.  Dongwen Ying, Jianwu Dang and Xugang Lu, (2008,3) “An Efficient TEO-based VAD With Noise Reduction” , International Workshop on Nonlinear Circuit and Signal Processing, Australia, pp.331-334

132.  Yuki Koba and Jianwu Dang, (2008, 3). “Investigation of relations between capabilities of speech production and phonemic restoration,” International Workshop on Nonlinear Circuit and Signal Processing, Australia, pp.335-338

133.  Gaowu WANG, Tatsuya Kitamura, Xugang LU, Jianwu DANG, Jiangping Kong. (2008,3) “MRI-based Study of Morphological and Acoustical Properties of Mandarin Sustained Steady Vowels,” International Workshop on Nonlinear Circuit and Signal Processing, Australia, 339-343

134.  Xugang Lu, and Jianwu Dang, (2007, 12) “Vowel intrinsic structure involved in continuous speech,” 154 meeting of Acoustic Society of America, Dec., 2007, ASA2007.

135.  Jianguo Wei, Xugang Lu, Jianwu Dang and Pascal Perrier (2007, 12) “Observation and Modeling of Lingual Coarticulation in the Planning Stage the AFCP workshop “Coarticulation: cues, direction, and representation”, pp. 71-74, December, 2007.

136.  Xugang Lu, and Jianwu dang, (2007, 9) “Dimension reduction for text-independent speaker identification based on mutual information,” Interspeech, Eurospeech 2007, pp.2021-2024, Belgium, 2007.

137.  K. Sawamura, J. Dang, M. Akagi, D. Erickson, et al. (2007,8) “Common factors in emotion perception among

138.  different cultures”, Proc. International Conference of Phonetic Science, 2113-2116 (Germany)

139.  Dongwen Ying, Masashi Unoki, Jianwu Dang, “A Noise Reduction Method based on Dimension Reduction in Noise Eigenspace,” the Japan-China Joint Conference of Acoustics 2007, P-2-29, June 2007.

140.  Xugang Lu Jianwu Dang, (2007, 4). "Physiological feature extraction for text independent speaker identification using non-uniform subband processing", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 461-464 (Hawaii, USA).

141.  Jianwu Dang, Yasutoshi Honda, Satoru Fujita, Yoshinobu Yanagi (2007, 3). “Modeling of Swallowing Mechanism based on MRI Observation,” International Symposium on Biomechanics, Healthcare, and Information Science, 189-192 (Kanazawa, Japan)

142.  Satoru Fujita,  Jianwu Dang,  Noriko Suzuki,  Kiyoshi Honda (2007, 3). “Estimation of Movements after Glossectomy based on 3D Physiological Tongue Model,” International Symposium on Biomechanics, Healthcare, and Information Science, 127-136 (Kanazawa, Japan)

143.  Jianwu DANG, Satoru FUJITA, Emi MURANO and Maureen STONE, (2006, 12). "Observation and Simulation of Large-scale Deformation of Tongue". International Seminars on Speech Production, pp.43-50 (Brazil)

144.  Liang Ma, Pascal Perrier, Noλl Nguyen, Jianwu Dang (2006, 12) . ”Anticipatory Coarticulation in Vowel-Consonant-Vowel sequences: A crosslinguistic study of French and Mandarin speakers,” International Seminars on Speech Production, pp.151-158 (Brazil)

145.  Akikazu Nishikido and Jianwu Dang (2006, 12). “Analysis of normal and infrequent articulation based on comparison of simulation and observation,” Proc. of the 7th International Seminars on Speech Production, 201-208, 2006. (Brazil)

146.  Satoru Fujita, Jianwu Dang, Noriko Suzuki, Kiyoshi Honda (2006, 12). "Modeling Asymmetrical Movements of Normal and Pathological Tongue," International Seminars on Speech Production, pp.387-394(Brazil)

147.  Xugang Lu, Jianwu Dang, (2006, 12) “Auditory Contrast Spectrum for Robust Speech Recognition”, the fifth International Symposium on Chinese Spoken Language Processing (ISCSLP), pp.325-333, (Pittsburgh, USA).

148.  Qiang FANG, Jianwu DANG (2006, 12). “Speech Synthesis Based on a Physiological Articulatory Model,” Proc of  ISCSLP 2006, LNAI 4274, 211-222 (Singapore)

149.  Dongwen Ying, Yu Shi, Frank Soong, Jianwu Dang and Xugang Lu (2006, 12) "A Robust Voice Activity Detection based on Noise Eigenspace Projection", ISCSLP 2006 (Springer LNAI Book, SCI Indexed), I-76. (Singapore)

150.  J. Dang, T. Nakai, Y. Piao, and S. Masaki, (2006, 11) “A study on generation of the voice bar in voiced stops,” J. Acoust. Soc. Am. Volume 120, Issue 5, pp. 3375-3375

151.  M. AKAGI, J. DANG, X. LU, and T. Uchiyamada (2006, 11) “Investigation of interaction between speech perception and production using auditory feedback” J. Acoust. Soc. Am. Volume 120, Issue 5, pp. 3253-3253

152.  Jianwu Dang (2006, 10).  “Speech production and its modeling,” Invited talker, The 7th Phonetic Conference of China (7th PCC) and International Forum on Phonetic Frontiers, Beijing, China.

153.  Jianguo Wei, Xugang Lu, Jianwu Dang (2006, 9) "A Simulation Based Parameter Optimization for a Coarticulation Model", ICSLP 2006, pp.969-972, (Pittsburgh, USA).

154.  J. Dang, Honda, K., (2006, 7) "A model based investigation on the relation of the vertical larynx movements and vocal fold length," presented at International Conference of Voice Processing Biology, (Tokyo, Japan)

155.  Jianwu Dang, Bo Hu, Yasutoshi Honda, Noriko Kawai, Yoshinobu Yanagi, Kanji Kishi (2006, 3) “Observation and simulation of swallowing mechanism,” 2d B-J-K international Symposium on Biomechanics, (Kanazawa, Japan)

156.Satoru Fujita, Youhei Chihara, Jianwu Dang, Noriko Suzuki, Kiyoshi Honda (2006, 3) “Simulation of Normal and Pathological Tongue Motion based on a 3D Physiological Tongue Model,” 2d B-J-K international Symposium on Biomechanics, (Kanazawa, Japan)

157.  Dang, J., Wei, J., Suzuki, T. and Perrier, P. (2005, 9) “Investigation and Modeling of Coarticulation during Speech” Interspeech 2005, pp. 1025-1028 (Lisbon, Portugal).

158.  Dang, J., Wei, J., Suzuki, T., Honda, K., Perrier, P, and Honda, M.(2004,12) “Investigation and modeling of coarticulation in speech production”, International Symposium of Chinese Spoken Language 2004, 25-28 (Hong Kong, China)

159.  Markov, K., Nakamura, S. and Dang, J. (2004,10) “Integration of Articulatory Dynamic Parameters in HMM/BN based Speech Recognition System,” Proc. ICSLP2004, pp.561-564 (Korea)

160.  Dang, J., Akagi, M., and Honda, K. (2004,9): “Communication between Speech Production and Perception - Observation and Simulation –”, Proc. KSET2004, 381-388 (Beijing).

161.  Dang, J., Honda, K, and Perrier, P. (2004, 4) “Implement of Coarticulation in Physiological Articulatory Model,” International Congress of Acoustics 2004, 1335-1336, (Kyoto, Japan)

162.  Zhou, X, LU, X. Dang, J., and Badin, P. (2004, 4) “Coupling Parameters Estimation for Two -layer Model of the Velum,” International Congress of Acoustics 2004, 1485-1488, (Kyoto,Japan)

163.  Ito, S. Dang, J., and Akagi, M. (2004, 4) “Investigation of the acoustic features of emotional speech using a physiological articulatory model,” International Congress of Acoustics 2004, 2225-2226, (Kyoto, Japan)

164.  Xugang Lu, Jianwu Dang (2004),"SPEECH RECOGNITION BASED ON A COMBINATION OF TRADITIONAL SPEECH FEATURES WITH ARTICULATORY INFORMATION ", ICA2004, Kyoto.

165.  Dang, J. and Honda, K. (2003, 12). "A control method considering the static and dynamic characteristics of the articulatory model", International seminar of speech production, (Sydney, Australia)

166.  Perrier, P., Dang, J., Payan, Y., and Ma, L. (2003, 12). "Assessing target-based models for speech motor control: comparison of their predictions of coarticulatory effects and evaluation of Chinese and French data." International seminar of speech production, (Sydney, Australia)  

167.  Gomi, H. Nozoe, J, and Dang, J. (2003,12) "Physiologically based lip model for generating speech articulation", International seminar of speech production, (Sydney, Australia)

168.  Dang, J. and Honda, K. (2003, 9). " Consideration of muscle co-contraction in a physiological model,” Eurospeech 2003, 2361-2364 (Geneva, Switzerland)

169.  Markov, K., Dang, J., Iizuka, Y., and Nakamura, S. (2003,9) “Hybrid HMM/BN ASR System Integrating Spectrum and Articulatory Features,” Eurospeech 2003, 965-968 (Geneva, Switzerland)

170.  Dang, J., Iizuka1, Y., Markov, K., and Nakamura, S. (2003,8) “Improvement of Speech Recognition Method Using Speech Production Mechanism,” Proc. ICPhS, 731-734, (Barcelona, Spain)

171.  Sayoko Takano, Kiyoshi Honda and Dang Jianwu: “Geometrical analysis of the tongue muscles based on MRI and functional modeling of the tongue,”J. Acoust. Soc. Am. 112, 2418 (2002); http://dx.doi.org/10.1121/1.4779896

172.  Dang, J. and Honda, K. (2002, 12). "Improvements of a Physiological Articulatory Model in Construction and Control Strategy,” JASA Vol. 112, No. 5, p.2418, First Pan-American/Iberian Meeting on Acoustics (Cancun, Mexico)

173.  Takano, S, Honda, K. and Dang, J. (2002, 12). "Geometric analysis of the tongue muscle based on MRI and functional modeling of the tongue,” JASA Vol. 112, No. 5, p.2418, First Pan-American/Iberian Meeting on Acoustics (Cancun, Mexico)

174.  Dang, J., Honda, M., and Honda, K. (2002, 9). "Investigation of coarticulation based on electromagnetic articulographic data," Proc. ICSLP2002, 1521-1524.

175.  Dang, J. and Honda, K. (2002, 3). " Motor control for a physiological articulatory model involving muscle antagonism,” Conf. On Motor Speech (Williamsberg, VA, USA)

176.  Dang, J. and Akagi, M. (2001, 11). "Speech processing based on human mechanism," Proc. of The 6th Conference on Man-machine Speech Communication, 39-45 (Shenzhen, China).

177.  Dang, J. and Honda, K. (2001, 10). "Inverse estimation from speech sounds to articulatory targets," Proc. of The 5th Conference on Modern Phonetics, 23-29 (Beijing, China).

178.  Dang, J. and Honda, K. (2001, 9). "Motor control for a physiological articulatory model involving muscle antagonism," The CREST Workshop on Speech Motor Control and Modeling, (Sapporo, Japan).

179.  Dang, J. and Honda, K. (2000, 10). "Improvement of a physiological articulatory model for synthesis of vowel sequences," Proc. ICSLP-2000, 457-460 (Beijing,China).

180.  Erickson, D., Maekawa, K., Hashi, M., Dang, J. (2000). ``Some articulatory and acoustic changes associated with emphasis in spoken English,'' Proceedings of the International Conference of Spoken Language Processing, 3, 247-250.

181.  Dang, J. and Honda, K. (2000, 5). "Estimation of vocal tract shape from speech sounds via a physiological articulatory model," Proc. International Workshop of Speech Production, 233-236, (Munich, Germany).

182.  Wu, C., Dang, J. and Honda, K. (1999.12). "Measuring and modeling of speech production," Proc. of Biomedical Engineering Society 1999, 42-43.

183.  Erickson, D, Fujimura, O., and Dang, J. (1999.11). "Articulatory and acoustic characteristics of emphasized and unemphasized vowels," J. Acoust. Soc. Ame., Vol 106, pp. 2241.

184.  Dang, J., Sun, J., Deng, L., and Honda, K. (1999.8). "Speech synthesis using a physiological articulatory model with feature-based rules," Proc. ICPhS-99, 2267-2270 (San Francisco, USA)

185.  Erickson, D., Fujimura, O., and Dang, J. (1999). ``Emphasized vs. unemphasized /aJ/: Jaw, tongue and formants,'' Acustica, 85, Suppl 1,1354 (A).

186.  Lee, L., Dang, J., and Deng, L. (1999.8). "A computation model for 2D articulation: Speech production with potential use in recognition," Proc. ICPhS-99, 2529-2532 (San Francisco, USA)

187.  Donna Erickson, Osamu Fujimura and Jianwu Dang: “Articulatory and acoustic characteristics of emphasized and unemphasized vowels” J. Acoust. Soc. Am. 106, 2241 (1999); http://dx.doi.org/10.1121/1.427636

188.  Dang, J. and Honda, K. (1999.3). "Speech synthesis of VCV sequences using a physiological articulatory model," J. Acoust. Soc. Ame., Vol 105, pp. 1091.

189.  Wu, C., Dang, J. and Honda, K. (1999.3). "A design of laryngeal structures for a physiological articulatory model," J. Acoust. Soc. Ame., Vol 105, pp. 1304.

190.  Erickson, D, Fujimura, O., and Dang, J. (1999.3). "Emphasized versus unemphasized /aJ/: Jaw, tongue and formants," J. Acoust. Soc. Ame., Vol 105, pp. 1354.

191.  Dang, J. and Honda, K. (1998.12). "Speech production of vowel sequences using a physiological articulatory model," Proc. ICSLP98, Vol. 5, pp1767-1770.

192.  Dang, J. and Honda, K. (1998.8). "A Physiological Model of a Dynamic Vocal Tract for Speech Production," International Workshop of Speech Production, Hokkaido,Japan.

193.  Kawanishi, Y., Dang, J., Shadle, C., Honda, K., and Suzuki,H. (1998.8). "An experimental study of the open end correction coefficient for the transmission line model of speech production," International Workshop of Speech Production, Hokkaido, Japan

194.  Dang, J. and Honda, K. (1998.6). "A physiological model of a dynamic vocal tract for speech production," ATR Technical Report.

195.  Dang, J. (1998.6) "End correction in an acoustic model of thevocal tract -effects of the side branches on sound -," JASA, 103, 5, p. 2776.  

196.  Dang, J. and Honda, H. (1997.12). ``A physiological model of the tongue and jaw for simulating deformation in the midsagittal and parasagittal planes'' JASA Vol.102, No. 5, pp. 3167.

197.  Dang, J., Shadle, C., and Suzuki, H. (1997.12)."An experimental study of the open-end correction coefficient for side branches within an acoustic tube and its application,'' JASA Vol. 102, No. 5, pp. 3167.

198.  Wakumoto, M., Masaki, S., Dang, J., Honda, K. Shimada,. Y., Fujimoto, I., and Nakamura, Y. (1997.10). ''Visualization of dental crown shape in an MRI-based speech production study,'' Proc. Tumor biology& Miscellaneous, 189-190.

199.  Dang, J., Honda, K., and Tohkura, Y. (1997.4). ``Investigation of Chinese vowel articulation using X-ray microbeam system,'' Proc. of the first China-Japan workshop on spoken language processing, 73-78.

200.  Dang, J., Kawanishi, Y., Shadle, C., Honda, K., and Suzuki,H. (1996,12):" Examination of the open end correction coefficient for side branches within an acoustic tube,", Third joint meeting of ASA and ASJ, 899-904, (Hawaii, USA)

201.  Dang, J., Honda, K. (1996,10): "An improved vocal tract model of vowel production implementing piriform fossa resonance and transvelar nasal coupling," ICSLP96,965-968 (Philadelphia, USA).  

202.  Dang, J., Honda, K. (1996,5): "Acoustical modeling of the vocal tract based on morphological reality: Incorporation of the paranasal sinuses and the piriform Fossa," 4th speech production seminar (Autrans, France).

203.  Dang, J., Honda, K. (1995,8) :"An investigation of the acoustic characteristics of the paranasal cavities," ICPhS95, Vol.1, 342-345.

204.  Suzuki, H., J. Dang, Nakai, T., Ishida, A, and Sakakibara, H. (1995,6): "3-D FEM analysis of sound propagation in the vocal tract for nasalized sounds," 15th ICA,Norway, 425-428.

205.  Dang, J., Honda, K. (1994,9):"Investigation of the acoustic characteristics of the velum for vowels," Proc. ICSLP 94, 603-606,Yokohama.

206.  Honda, K. Hirai, H. and Dang, J. (1994,9):"A physiological model of speech organs and the implications of the tongue-larynx interaction," Proc. ICSLP 94, 175-178,Yokohama.

207.  Suzuki, H., Dang, J., Nakai, K. Ishida, A. and Sakakibara, H. (1994,9):" 3-D FEM analysis of sound propagation in the nasal and paranasal cavities," Proc. ICSLP 94, 171-174, Yokohama (1994).

208.  Hirai, H, Dang J., and Honda K. (1994,6):"Production of speech from a physiological model of speech organs," J. Acoust. Soc. Am., 95, p.2823.

209.  Suzuki, H., Ishida, A., Nakai, T. and Dang, J. (1994,6):"MRI measurement and 3-D analysis of the nasal and paranasal cavities." J. Acoust. Soc. Am., 95, p.2824.

210.  Dang, J., Honda, K and Suzuki, H. (1993,10):"MRI measurement and acoustic analysis of the nasal and paranasal cavities" 126th meeting of Acoust. Soc. Am.

211.  Dang, J., Nakai T. and Suzuki, H. (1992,9):"Investigation of sound radiations from the lips and the nostrils in nasalized speech" ICA Vol.3 G2-7, Beijing.

212.  Suzuki, H., Nakai, T., Dang, J. and Lu, C. (1990,11): "Speech production model involving subglottal structure and oral-nasal coupling through closed velum"ICSLP90, Vol.1 pp.437-440 (Kobe, JPN).  

213.  J. Dang and W. Wu (1986,4):"Research on Chinese Speech Synthesis by Rule in Time Domain" World Acoustics Speech Signal Process, Beijing.

Top




Other Papers

1.       末光 厚夫,伊藤 貴之,党 建武,Tiede Mark,アメリカ英語発音学習における調音フィードバック提示による学習 効果の検討, 日本音響学会秋季研究発表会, 豊橋技術科学大学, 2013/09/25-27

2.       西村奈々,川本真一,党 建武 (2013) “発話機構モデルを用いた茎突舌筋の形態機能学的検討,”日本音響学会春季研究発表会, 2013, 3, 13, 東京工科大学八王子キャンパス 

3.       藤井一哉,末光厚夫,党 建武 (2012) “母語による第二言語音韻知覚への影響に関する考察日本音響学会季研究発表会講演論文, 2012919, 信州大学長野(工学)キャンパス 

4.       西村奈々, 川本真一, 党建武 (2012) “解剖学的知見に基づく生理学的発話機構モデルの筋配置の個人化に関する検証日本音響学会季研究発表会講演論文, 2012919, 信州大学長野(工学)キャンパス 

5.       西村奈々, 川本真一, 党建武 (2012) “MR画像に基づいた変形による生理学的発話機構モデルの個人化,” 日本音響学会聴覚研究会資料, 42(4), pp.357-362. [査読無]

6.       西村奈々, 川本真一, 党建武, “形態学的情報に基づく個人化発話機構モデルの構築,”日本音響学会春季研究発表会講演論文, 1-R-11, pp.451-454, 神奈川大,March 2012.

7.        藤井一哉,末光厚夫党建武,“復唱による母音学習過程における音声知覚に関する考察,”聴覚研究会資料,vol.41, no.9, pp.689-694, Dec. 2011.

8.        Yongxin WANG, Jianwu DANG (2010,3) “Emotional Speech Analysis based on Physiological Articulation Model,” ASJ Spring, Mar 9

9.        Xiyu WU and Jianwu DANG  (2010,3) “Investigation of speech motor control using a 3D physiological articulatory model ASJ Spring, Mar 9

10.     吉川裕介徳田功王永鑫党建武 (2010,3) ”変調の概念を用いた感情音声における感情成分の特徴解” ASJ Spring, Mar 9東京

11.     錦戸、党 (2010,3) 「音声と一対多の関係にある調音状態の分布構造:発話機構モデルに基づく考察」, 音声研究会, 芝浦工大

12.     Aijun LI, Jianwu DANG, (2009,9) “A Cross-Cultural Investigation on Emotion Expression under Vocal and Facial Conflict — Also an Observation on Emotional McGurk Effect” Proc. AJS fall meeting, pp.493-496

13.     Leilei ZHENG,  Aijun LI,  Jianwu DANG, (2009,9)  “Vocal Acoustic and Facial Action Features in Cross-cultural Emotion Expression,” Proc. AJS fall meeting, pp.497-498

14.     Xiyu WU, Yongxin WANG and Jianwu DANG, (2009,9)  “ Investigation of speech production using a 3D physiological articulatory model”, Proc. AJS fall meeting, pp.335-338

15.     Stιphanie BuchaillardJianwu Dang, (2009,9)  “ Exploration of swallowing mechanisms with a physiological model of the oral cavity”, Proc. AJS fall meeting, pp.335-338

16.     錦戸信和,党建武(2009,3) “音声に対する多意性を考慮した自然発話状態の判別”, Proc. AJS fall meeting, pp.367-370

17.     Jianguo Wei and Jianwu Dang, (2009,9)  “Evaluations of Thin-plate spline based Vocal Tract Normalization Method”, Proc. AJS fall meeting, pp.371-372

18.     錦戸,党 (2009,3) “自然発話状態と不自然発話状態との分離に適した調音特徴量の検討”, 日本音響学会平成21年春季研究発表会,2-P-3 (東工大).

19.     末光,朴,党,赤木, 櫻庭,峯松,広瀬 (2009, 3) “異文化間における3 感情音声認知と6 感情音声認知の比較検討” 日本音響学会平成21年春季研究発表会,3-6-3(東工大).

20.     小畑, 末光, 平井, (2009,3) “素片編集型音声合成における発話スタイルに関する研究電子情報通信学会全国大会、D-14-1愛媛大(松山市)

21.     小杉, 三井, 石川, , 宮原 (2009, 2). “高効率エネルギー放射を意図したアンプの研究開発,” 映像情報メディア学会技術報告、Vol. 33, No. 11, pp. 127-130

22.     錦戸信和、党建武2008, 9 ”母音発話状態の特異調音についての考察”日本音響学会2008年秋季研究発表会、pp371-372

23.     Jianwu Dang and Xugang Lu (2008, 9) “Investigation of consistency of vowel structures between speech production and perceptual spaces”  Proc. AJS fall meeting, pp.441-444

24.     Donna EricksonHuang Chun-Fang, Takaaki Shochi, Albert Rilliard, Jianwu Dang, Ray Iwata, and Xugang Lu (2008, 9) “Acoustic and articulatory cues for Taiwanese, Japanese and American listeners’ perception of Chinese happy and sad speech”  Proc. AJS fall meeting, pp.351-354

25.     Qiang FANG, Akikazu Nishikido, Satoru Fujita, Xugang LU, Jianwu DANG,(2008,3) “Investigation of 3D tongue shapes for model control”, Proc. AJS Spring meeting, pp.325-326

26.     Gaowu WANG, Qiang FANG, Tatsuya KITAMURA, Xugang LU, Jianwu DANG. (2008,3) “Studies of Morphological and Acoustical Properties of Mandarin Using MRI,” Proc. AJS Spring meeting, pp.327-328

27.     馬 鋭方 強錦戸信和廬 剛党 建武星野朱美:“破裂子音の音響特徴に関する研究”2008 年電子情報通信学会総合大会、情報ステム講演論文集D-14-17pp.190 

28.     木場 祐樹 建武 (2008,3) “発話能力と音韻修復能力の関連についての考察日本音響学会講演論文集, pp.585-586

29.     、藤田、“MRIの計測に基づいた嚥下メカニズムの生理学的モデルに関する研究”日本音声言語医学会総会、2B-21-3, (2007,10)

30.     藤田、、鈴木、本多、“生理学的舌モデルによる舌手術後の運動障害予測-舌手術計画支援システムを目指して-”, 日本音声言語医学会総会、1P1-1-1, (2007,10)

31.     Xugang Lu, and Jianwu Dang, “Intrinsic structure of Japanese vowels in articulatory space,” The Autumn meeting of the Acoustic Society of Japan, 3-4-5, 2007

32.     錦戸信和、党建武、”GMMを用いた通常発話状態と特異発話状態の弁別”、日本音響学会秋季研究発表会、2007/09/1909/21 (山梨大)

33.     内山田太一、党建武、赤木正人、Lu Xugang“聴覚フィードバックにおける発話系の補償動作に関する研究 ”平成19年度電気関係学会北陸支部連合大会

34.     Jianguo Wei, Xugang Lu, Qiang Fang and Jianwu Dang, “Assessments of a Radial Basis Function based Vocal Tract Normalization ” Proc. of The 2007 Autumn Meeting of The Acoustical Society of Japan, 1-P-17, Sep,2007

35.     Qiang FANG, Satoru Fujita, Xugang LU, Jianwu DANG, "Analysis of 3-D tongue shape in speech production" Proceeding of  ASJ 2007 Autumn  meeting ,  P335~336

36.     Dongwen Ying, Masashi Unoki, and Jianwu Dang, “A speech enhancement framework based on noise eigenspace projection,” IEICE Technical Report, SP2007-42, Jul 2007.

37.     Dongwen Ying, Xugang Lu, Jianwu Dang (2007,3) “A Voice Activity Detector for Robust Speech Recognition”, Proc. of the 2007 Spring Meeting of the Acoustical Society of Japan, pp. 1-P-8.

38.     Xugang LuJianwu Dang (2007, 3). “Feature selection for speaker identification based on discrete cosine transform and principal component analysis,” Spring Meeting of ASJ, 1-P-14

39.     Jianguo WeiXugang LuQiang FangJianwu Dang( 2007,3). “Normalization of electromagnetic midsagittal articulographic data using Thin-Plate Spline method” Spring Meeting of ASJ, 3-8-14

40.     Qiang FangJanwu DangXugang Lu (2007,3) “A language information aided speech inversion”  Spring Meeting of ASJ, 3-8-20

41.     松井 崇倫,兼安  勉,党  建武, (2007, 3) “主観的評価と客観的評価に基づく合成音声評価装置の開発” 日本音響学会春季全国大会、1-8-8

42.     錦戸 信和,党 建武 (2007, 3 “調音モデルを用いた特異発話状態の調査”  日本音響学会春季全国大会, 1-Q-28

43.     藤田 覚,党 建武,鈴木 規子,本多 清志, (2007, 3) “生理学的舌モデルを用いた舌手術後の運動変化推定”, 日本音響学会春季全国大会, 2-8-5

44.     内山田 太一,Lu Xugang,党 建武,赤木 正人(2007, 3) “変形聴覚フィードバックに対する発話系の反応の計測”, 日本音響学会春季全国大会, 2-Q-18

45.     沢村 奏絵,党 建武,赤木 正人,Fang QiangDonna Erickson,櫻庭 京子,峯松 信明,広瀬 啓吉, (2007,3) “異文化間の感情音声の認知における共通要素についての検討”,   日本音響学会春季全国大会, 2-Q-19

46.     藤田 覚,党 建武, Pascal Perrier(2006,9) “平衡点マップとλモデルの結合による発話運動制御の検討” 日本音響学会秋季全国大会, 1-6-1

47.     永男,党 建武,中井 孝芳,赤木 正人(2006, 9)  “MRIデータを用いた軟口蓋の測定と声道音響モデルへの適用に関する研究”, 日本音響学会秋季全国大会, 1-Q-6

48.     内山田 太一,Lu Xugang,党 建武,赤木 正人 (2006, 9) “変形聴覚フィードバックによる発話系の補償動作に関する研究”, 日本音響学会秋季全国大会, 3-P-9

49.     Xugang LuJianwu Dang  (2006, 9) “A new representation of vocal tract shapes of vowels based on similarity”,  Autumn Meeting of ASJ, 1-2-3

50.     Dongwen Ying, Xugang Lu, Jianwu Dang,  (2006, 9) “Noise Reduction based on Spectral Subtraction in Noise Eigenspace”, ”,  Autumn Meeting of ASJ, 1-2-16.

51.     Jianguo WeiXugang LuJianwu Dang  (2006, 9) “ Assessment of an optimized coarticulation model based on simulation and observation”,  Autumn Meeting of ASJ, 1-6-4 

52.     Qiang FangJianwu Dang  (2006, 9) “ synthesize Chinese vowels based on a physilological articulatory model”,  Autumn Meeting of ASJ,  2-6-4 

53.     Jianguo Wei, Xugang Lu, Jianwu Dang, (2006, 7) "Optimization and evaluation of a coarticulation model based on observation and simulation", Transactions on Technical Committee of Psychological and Physiological Acoustics (The Acoustical Society of Japan) Vol.36, No.5, pp.409-414, July, 2006.

54.     Xugang Lu, Jianwu Dang, (2006, 6) “Extraction of low dimensional representation of vowels in articulatory space”, IEICE technical report, Vol.105, pp.79-84, 2006 June.

55.     藤田 覚, 党 建武, Pascal Perrier, "3次元舌モデルを用いる母音構音の force vector及びλ vectorに関する検討," 信学技報, SP2006-20~26, Jul 2006.

56.     錦戸 信和, 建武, ``日本語5母音の調音音響的観測とモデルシミュレーションとの比較,'' 電子情報通信学会技術研究報告, SP2006-21, pp.5-10, 2006.

57.     , 建武, 松澤 照男(2006,7) “Numerical Simulation of Coupling Problem in a Larynx Model”, 電子情報通信学会技術研究報告, SP2006-21, 2006.

58.     朴永男,党建武,中井 孝芳,赤木 正人 (2006, 7) “音声生成における軟口蓋の機能のモデル化に関する研究”, SP2006-21, 2006.

59.     菅野 , 中井 , 建武, ``音韻修復に影響を与える言語的要因の調査,'' 日本音響学会2006年春季研究発表会講演論文集, 3-P-26, Mar 2006

60.     近藤 , 兼安 , 中井 , 建武, ``波形接続型音声合成の接続部分における不自然性の自動評価,'' 日本音響学会2006年春季研究発表会講演論文集, 3-4-5, Mar 2006

61.     千原 陽平, 藤田 , 中井 , 建武, ``生理学的モデルに基づく舌手術補助インタフェースの構築,'' 電子情報通信学会2006総合大会, D-16-9, Mar 2006

62.     田中 貴文,Lu Xugang,党 建武,赤木 正人, “変形聴覚フィードバックにおける摂動量と補正動作の関係について”, Proc. of The 2006 Spring Meeting of The Acoustical Society of Japan, 1-1-16, pp.515-516, Mar 2006

63.     党建武、藤田覚、本多清志、鈴木紀子、“病態模擬のための舌の生理学的計算モデルの構築について”、日本歯科放射線学会 第10回臨床画像大会抄録、pp.33 (2005)

64.    胡 勃、党 建武、本多康聡 “MRIデータに基づいた嚥下メカニズムを再現する生理学的モデルの構築 喉頭部のモデル化について”、日本歯科放射線学会 第10回臨床画像大会抄録、pp.34, (2005)

65.    菅野 , 中井 , 建武, ``音韻修復における言語情報の影響に関する研究,'' 日本音音響学会聴覚研究会資料, vol.35, no.9, pp.587-592, Oct 2005

66.     藤田覚、党建武、本多清志、鈴木規子、「3次元生理学的発話シミュレータに基づいた病態舌の発話運動の検討」、日本音響学会講演論文集, 325-326 (2005)

67.     錦戸 信和, 建武, ``シミュレーションによる日本語5母音の音響特性と発話状態の関連性についての検討,'' 日本音響学会秋季研究発表会, No3-1-7, Sep 2005.

68.     Dongwen Ying, Xugang Lu, Jianwu Dang, Frank Soong, ``A Gain Adaptation Noise Sensitivity Function for Robust Speech Recognition,'' Proc. of the 2005 Autumn Meeting of The Acoustical Society of Japan, 3-7-19, Sep 2005

69.     Xugang Lu, Jianwu Dang, ``Auditory edge for robust speech recognition,'' Proc. of the 2005 Autumn Meeting of The Acoustical Society of Japan, 1-P-9, Sep 2005

70.     Dang, J., Stone, M., Honda, K. (2005). “Comparison of Model Simulation and Observation on Tongue Deformation during Speech”, IEICE technical report. Speech (SP2005-48), Vol.105, No.252, pp. 13-18 .

71.     鈴木 丈晴, Wei Jianguo, 建武, ``発話運動における調音結合の分析について,'' 日本音響学会2005年春季研究発表会講演論文集, 1-1-8, pp.169-170, Mar 2005

72.     Jianguo Wei, Takeharu Suzuki, Jianwu Dang, ``Modeling and Simulation of Coarticulation Using a Physiological Articulatory Model,'' Proc. of The 2005 Spring Meeting of The Acoustical Society of Japan, 1-1-6, pp.165-166, Mar 2005

73.     Dongwen Ying, Xugang Lu, Jianwu Dang, ``A Measurement of Noise Sensitivity and Its Application in Robust Speech Recognition,'' Proc. of The 2005 Spring Meeting of The Acoustical Society of Japan, 3-5-8, pp.91-92, Mar 2005

74.     葭原 康博, Lu Xugang, 建武, ``加重等分解度特徴量を用いたテキスト独立型話者識別,'' 日本音響学会2005年春季研究発表会講演論文集, 1-5-8, pp.15-16, Mar 2005

75.     錦戸 信和, 建武, ``生理学的発話機構モデルを用いた音響特性と発話状態の関連性の検討,'' 日本音響学会2005年春季研究発表会講演論文集, 1-1-7, pp.167-168, Mar 2005

76.     松岡 理絵, Lu Xugang, 野田 , 建武, 赤木 正人, ``聴覚系と発話系の相互作用に関する検討,'' 日本音響学会2005年春季研究発表会講演論文集, 3-P-33, pp.305-306, Mar 2005

77.     Xugang Lu, Jianwu Dang, ``Robust Speech Feature Extraction Based on Auditory Neural Adaptation Mechanism,'' Proc. of The 2005 Spring Meeting of The Acoustical Society of Japan, 3-5-3, pp.81-82, Mar 2005

78.     葭原 康博, Lu Xugang, 建武, ``加重等分解度特徴量を用いたテキスト独立型話者識別,'' 情報処理学会研究報告, 2005-SLP-55-5, pp.23-28, Feb 2005

79.     Matsuoka, R., Lu, X., Dang, J., Akagi, M. (2004, 12): “Investigation of interaction between speech perception and speech production,” KIT International Symposium on Brain and Language 2004, 27-28.

80.     錦戸,党(2004,10):“生理学的発話機構モデルを用いてQuantal theoryを考慮した音声から発話状態の推定,” 信学技報、SP2004-69,13-18.

81.     松岡,Lu, 党,赤木,(2004,10): “調音情報を考慮した聴覚系と発話系の相互作用に関する検討,” 日本音音響学会聴覚研究会資料、Vol.34, No.8, 585-590.

82.     党、赤木、本多 (2004,9)“音声生成と知覚の相互作用についての検討”、日本音響学会秋季全国大会論文集, 256-266.

83.     葭原,Lu, 党(2004,9):“局部細分化による話者特徴量の抽出と話者識別への適用について,” 日本音響学会秋季全国大会論文集, 93-94

84.     Lu, X., Dang, J. (2004,9) “Sub-band temporal envelope estimation based on Bayesian inference with prior PDF,” 日本音響学会秋季全国大会論文集, 111-112

85.     葭原、Lu、党(2004,7)“生理学的特徴量の話者識別における有効性についての検討”、信学技報、SP2004-40,1-6.

86.     Lu, X., and Dang, J. (2004, 3): “Speech Recognition Based on a Combination of Traditional Speech Features with Articulatory Information,” Proc. of IEICE Tech. Report, 1-6

87.     本多、党 (2004,3)“音声生成機構のMRI観測と生理学的調音モデル信学技報、SP2003-188, 13-18. 

88.     朴雪梅,党 建武,五味裕章,赤木正人(2004),"生理学的発話機構モデルのダイナミカル特性の改善について" 音響学会春季全国大会, 293-294  

89.     建武,本多 清志(2004) ,"拮抗筋の同時収縮を考慮した生理学的発話機構モデルによる音声合成", 音響学会春季全国大会, 297-298

90.     Xugang Lu, Jianwu Dang, 2004 " Robust speech feature extraction by integrating temporal and frequency processing mechanisms in auditory model" 音響学会春季全国大会, 7-8.  

91.     五味、朴、党、誉田(2004”模倣による調音ダイナミクスモデル制御の獲得”信学会研究会、1ー6

92.     野添、党、本多、五味 2003.9”リアルな調音生成を目指した口唇音ダイナミクスモデルの構築”,日本音響学会秋期全国大会論文集、293-294.

93.     Dang, J., Markov, K., Iizuka1, Y., and Nakamura, S. (2003,6) “Application of articulatory dynamics on speech recognition,” 信学技報, SP2003-40, 31-36.

94.     Yao, Dang, and Nakamura (2002,9) : ”Generative factor-analyzed HMM for automatic speech recognition”, Proc. Fall-meeting ASJ, 55-56

95.     高野、本多、党(20029):“MRI による母音発声時の舌変形の計測とそのモデル化”、音響学会秋季全国大会, 305-306

96.     Dang, J., Honda, M., and Honda, K. (2002, 7). "Analysis of coarticulation based on electromagnetic articulographic data," 信学技報, SP2002-61, 23-28.

97.     党、誉田 (2002,3)''計測データに基づいた調音結合の分析と定式化音響学会春季全国大会, 303-304.

98.     党、本多 (200,10)''筋の拮抗関係を考慮した生理学的調音モデルの制御音響学会秋季全国大会, 297-298.

99.     党、本多 (2001,3)''発話機構モデルによる逆推定法を用いた音韻の識別音響学会春季全国大会, 263-264.

100.  西墻、党、本多(2001,2):“発話機構モデルによる声道形状逆推定法を用いた音韻と発話様式の分析”, 信学技報, SP2000-149, 51-58

101.  党、本多 (2000,3)''生理学的調音モデルを用いた音声信号に基づく声道形状の推定音響学会春季全国大会, 263-264.

102.  党、本多 (1999,9)''生理学的調音モデルを用いる音声合成法音響学会秋季全国大会, 243-244.

103.  Wu, Dang, and Honda (1999,9)''Fundamental frequency controlusing a physiological laryngeal model,”音響学会秋季全国大会,241-242.

104.  党、本多 (1998,9)”生理学的調音モデルを用いた母音系列の合成音響学会春季全国大会, 257-258.

105.  党、本多 (1998,3)”生理学的調音モデルに基づく3次元声道形状の生成”、音響学会全国大会、265-266.

106.  党、本多 (1997,9). "傍矢状面の変形を考慮した舌の生理学的モデル,"音響学会秋季全国大会, 311-312.

107.  和久本、正木、党、本多、藤本、中村、島田 (1997,10). "造影プレートを利用したMRIによる歯冠部造影法とその構音への影響," 音響学会秋季全国大会, 397-398.

108.  Dang, J., Shadle, C., Kawanishi, Y. Honda, K., and Suzuki, H. (1997,6). " An experimental study of the open end correction coefficient for side branches within an acoustic tube,''TechnicalReport, TR-H-219.

109.  Dang, J., Honda, K., and Tohkura, Y. (1997.6). ``3D observation of the tongue articulatory movement for Chinese vowels,'' 信学技報、SP97-11, 9-16.

110.  Dang, J., Honda, K. (1997,3):"舌の三次元的変形と筋電図との関連について, " 音響学会春季全国大会, 241-242.

111.  河西、党、本多、鈴木 (1996,5):"音響管内にある分岐の開口補正とその形状との関連について”、信学技報、SP96-4, pp. 23-30.

112.  河西、小淵、党、中井、鈴木 (1996,5):"FEMモデルと実形モデルとの比較による梨状窩の音響特性の検討”、信学技報、SP96-4, pp. 1-8.

113.  Dang, J. (1996,6):"An improved speech production model incorporating morphological details," Workshop of Speech ProductionTheory, Hokaido.

114.  党,河西,Shadle (1996): "声道内にある分岐の放射端補正係数の測定”, 日本音響学会春季全国大会.

115.  Dang, J., and Honda, K. (1995,12) "Acoustic characteristics ofthe human paranasal sinuses derived from sound pressure measurement and morphological observation," ATR TR-H-179.

116.  党、本多 (1995,10): ”鼻腔と口腔との音響結合における軟口蓋の機能” 日本音響学会講演論文集, pp.235-236.

117.  党、本多 (1995,5):”母音発話時の音声スペクトルに対する梨状窩の影響”、信学技報、SP95-10, 1-8 .

118.  党、本多 (1995,3):”副鼻腔音響特性の観測” 日本音響学会講演論文集 pp.219-220.

119.  党、本多 (1995,3):”梨状窩(pyriform fossa)の音響スペクトルへの影響” 日本音響学会講演論文集 pp.225-226.

120.  Dang, J., Honda, K (1994,11):" A new method for measuring vocaltract transmission characteristics", ATR Tech. Report, TR-H-108.

121.  党、本多 (1994.10):”音響管内音圧と放射端音圧による音響管特性の測定方法の検討” 日本音響学会講演論文集 pp.375-376.

122.  党 建武、本多清志 (1994,3):”発話時の軟口蓋の形態の観測と音圧の測定” 日本音響学会講演論文集 pp.647-648.

123.  平井啓之、党 建武、本多清志 (1994,3)”発話器官モデルによる音声の生成” 日本音響学会講演論文、 pp.669-670.

124.  鈴木久喜、党 建武、中井孝芳、石田 彰 (1994,3)”鼻腔.副鼻腔形状のMRI観測と3次元音響管モデルによる伝達特性の解析” 日本音響学会講演論文集 pp.661-664.

125.  Dang, J., Honda, K. and Suzuki, H.(1993,10):"Morphological and acoustical analysis of the nasal and the paranasal cavities" ATR Tech. Report TR-H-030.

126.  党 建武、本多清志、鈴木久喜 (1993,10)”鼻子音発声時における声道形状の計測と音声の分析” 日本音響学会講演論文集 pp.269-270.

127.  党 建武、本多清志、鈴木久喜 (1993,7)”静的な鼻腔音響モデルの検討” 最先端音声工学論文集 pp.22-26.

128.  党 建武、本多清志、鈴木久喜 (1993,3)”鼻腔形状の計測と鼻腔音響特性の分析” 信学技報、SP92-137, pp.1-8.

129.  党 建武、本多清志、鈴木久喜 (1993,3)”MRI画像による鼻腔及び副鼻腔の計測” 日本音響学会講演論文集  pp.197-198.

130.  党 建武、本多清志、鈴木久喜 (1992.10)”連続音声における鼻咽腔等価開口面積の推定”日本音響学会講演論文集  pp.345-346.

131.  党 建武、中井孝芳、鈴木久喜 (1992,3)”連続音声における軟口蓋の音響モデル” 信学技報 SP91-126 pp.31-38.

132.  党 建武、中井孝芳、鈴木久喜(1991,10)”有声破裂子音バズ区間の音響特性による声道壁インピーダンスの推定” 日本音響学会講演論文集 pp.215-216 .

133.  党 建武、中井孝芳、鈴木久喜 (1991,3)”連続音声発声時の鼻孔からの放射音圧の測定" 信学技報 SP90-103 pp.9-16.

134.  党 建武、中井孝芳、鈴木久喜 (1991,3)”頬の振動加速度及び口腔内外音圧による頬インピーダンスの測定” 信学技報 SP90-103 pp.1-8.

135.  党 建武、中井孝芳、鈴木久喜(1991,3)”発声時の口腔内圧と発声器官各部位からの放射音の測定” 日本音響学会講演論文集  pp.295-296 .

136.  党 建武、中井孝芳、鈴木久喜 (1990,10)”声道内音圧による声道壁の振動及び声道壁からの透過音圧の測定” 日本音響学会講演論文集 pp.273-274.

137.  中井孝芳、党 建武、鈴木久喜 (1990,3)”閉鎖軟口蓋の振動による鼻腔口腔結合を考慮した音声生成モデル” 信学技報 Vol.89 No.454SP89-145 pp.23-30.

138.  党 建武、中井孝芳、鈴木久喜 (1990,3)”鼻腔と口腔の相互作用及び副鼻腔の影響” 日本音響学会講演論文集 pp.259-260.

139.  党 建武、中井孝芳、鈴木久喜 (1989,10)”発声器官の各部位の振動と放射の測定” 日本音響学会講演論文集 pp.229-230.

Top

Patents

1.      2700530号 音響伝達特性計測装置と方法、1997103日登録、発明者:党 建武、本多 清志

2.      3413384号 調音状態の推定表示方法およびそのためのコンピュータプログラムを記録したコンピュータ読取可能な記録媒体、2003328日登録、発明者:党 建武、本多 清志

3.      特願2002-277541 音声認識システム、2004年4月15日 発明者:ヤオカイシェン、中村 哲、党 建武