北陸先端科学技術大学院大学 [JAIST] - 研究者総覧
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鵜木 祐史 (ウノキ マサシ) 教授
情報科学系、ヒューマンライフデザイン領域

213件中1-20件目

  • 1. Auditory-inspired end-to-end speech emotion recognition using 3D convolutional recurrent neural networks based on spectral-temporal modulation,Zhichao Peng, Zhi Zhu, Masashi Unoki, Jianwu Dang, Masato Akagi,Proc. ICMC2018, San Diego, CA, USA,2018/07
  • 2. Speech watermarking based on robust principal component analysis and formant manipulations,Shengbei Wang, Weitao Yuan, Jianming Wang, Masashi Unoki,Proc. ICASSP2018, Calgary, Canada,pp. 2082-2086,2018/04
  • 3. Method of estimating direction of arrival of sound source for monaural hearing based on temporal modulation perception,Nguyen Khanh Bui, Daisuke Morikawa, Masashi Unoki,Proc. ICASSP2018, Calgary, Canada,pp. 5014-5018,2018/04
  • 4. Contributions of Temporal Cue on the Perception of Speaker Individuality and Vocal Emotion for Noise-Vocoded Speech,Zhi Zhu, Yukiko Araki, Ryota Miyauchi and Masashi Unoki,Acoustical Science and Technology, DOI: 10.1250/ast.39.234,vol. 39,no. 3,pp. 234-242,2018
  • 5. Study on method for blindly estimating parameters of the extended stochastic model of room impulse response,Daisuke Ishikawa and Masashi Unoki,Proc. 2017 RISP International workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP17),pp. 493-496,2017/03
  • 6. Investigation on the head-related modulation transfer function for monaural DOA,Nguyen Khanh Bui, Daisuke Morikawa, and Masashi Unoki,,Springer Lecture Notes Smart Innovation, Systems and Technologies Advances in Intelligent Information Hiding and Multimedia Signal Processing (Proc. IIHMSP2016), J.-S. Pan et al. (eds.), DOI 10.1007/978-3-319-50209-0_24,Volume 63,pp. 191-200,,2016/11
  • 7. Robust method for estimating F0 of complex tone basedon pitch perception of amplitude modulated signal,Kenichiro Miwa and Masashi Unoki,Proc. Interspeech2017 (accepted),2017/08
  • 8. Feasibility of Vocal Emotion Conversion on Modulation Spectrogram for Simulated Cochlear Implants,Zhi Zhu, Ryota Miyauchi, Yukiko Araki, and Masashi Unoki,Proc. EUSIPCO2017, Kos Island, Greece, Aug. 2017 (accepted),2017/08
  • 9. Important role of temporal cues in speaker identification for simulated cochlear implants,Zhi Zhu, Ryota Miyauchi, Yukiko Araki, and Masashi Unoki,Proc. 1st International Workshop on Challenges in Hearing Assistive Technology (CHAT-2017), Stockholm, Sweden (accepted),2017/08
  • 10. Academia, ディジタル音響信号への知覚不可能な情報ハイディング,鵜木祐史,電波技術協会報FORN−2017.7,No.317,,pp. 40-43,2017/07
  • 11. Method of Estimating Signal-to-Noise Ratio Based on Optimal Design for Sub-band Voice Activity Detection,Shota Morita, Xugang Lu, Masashi Unoki, and Masato Akagi,Journal of Information Hiding and Multimedia Signal Processing,vol. 8,no. 6,pp. 1446-1459,2017
  • 12. Method of Blindly Estimating Speech Transmission Index in Noisy Reverberant Environments,Masashi Unoki, Akikazu Miyazaki, Shota Morita, and Masato Akagi,Journal of Information Hiding and Multimedia Signal Processing,vol. 8,no. 6,pp. 1430-1445,2017
  • 13. Study on speech representation based on spikegram for speech fingerprints,Dung Kim Tran and Masashi Unoki,Proc. IIHMSP2017,2017/08
  • 14. Tampering Detection in Speech Signals by Semi-Fragile Watermarking Based on Singular-Spectrum Analysis,Jessada Karnjana, Masashi Unoki, Pakinee Aimmanee, and Chai Wutiwiwatchai,Springer Lecture Notes Smart Innovation, Systems and TechnologiesAdvances in Intelligent Information Hiding and Multimedia Signal Processing (Proc. IIHMSP2016), J.-S. Pan et al. (eds.), DOI 10.1007/978-3-319-50209-0_17,Volume 63,pp. 131-140,,2016/11
  • 15. Speech Watermarking Scheme Based on Singular-Spectrum Analysis for Tampering Detection and Identification,Jessada Karnjana, Kasorn Galajit, Pakinee Aimmaneey, Chai Wutiwiwatchai, and Masashi Unoki,Proc. APSIPA2017, Kuala Lumpur, Malaysia,DOI: 10.1109/APSIPA.2017.8282027,2017/12
  • 16. Speech Emotion Recognition Using MPCRNN based on Gammatone auditory filterbank,Zhichao Peng, Zhi Zhu, Masashi Unoki, Jianwu Dang, Masato Akagi,Proc. APSIPA2017, Kuala Lumpur, Malaysia, DOI: 10.1109/APSIPA.2017.8282316,2017/12
  • 17. F0 Estimation Using Empirical Mode Decomposition and Complex Cepstrum Analysis in Reverberant Environments,Surasak Boonkla, Masashi Unoki, Chai Wutiwiwatchai, and Stanislav S. Makhanov,Proc. APSIPA2017, Kuala Lumpur, Malaysia,2017/12
  • 18. Study on method for protecting speech privacy by actively controlling speech transmission index in simulated room,Masashi Unoki, Yuta Kashihara, Maori Kobayashi, and Masato Akagi,Proc. APSIPA2017, Kuala Lumpur, Malaysia, DOI: 10.1109/APSIPA.2017.8282212,2017/12
  • 19. Robust Speech Analysis Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition in Noisy Environments,Surasak Boonkla, Masashi Unoki, and Stanislav S. Makhanov,Speech and Computer, of the series Lecture Notes in Computer Science,Volume 9811,pp 580-587,2016/08
  • 20. Robust front-end for speech recognition by human and machine in noisy reverberant environments: the effect of phase information,Yang Liu, Naushin Nower, Shota Morita, and Masashi Unoki,Proc. ISCSLP2016, Tianjin, China,2016/10

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