Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms, 2021, Ryoto Ishizuka, Ryo Nishikimi, Kazuyoshi Yoshii, Signals, 2-3, 508-526 DOI
MirrorNet: A Deep Reflective Approach to 2D Pose Estimation for Single-Person Images, 2021, Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama, Satoru Fukayama, Masataka Goto, Shigeo Morishima, Journal of Information Processing, 29, 406-423 DOI
Musical Rhythm Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions, 2021, Eita Nakamura, Kazuyoshi Yoshii, Information Sciences, , 482-500 DOI
Audio-to-Score Singing Transcription Based on a CRNN-HSMM Hybrid Model, 2021, Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii, APSIPA Transactions on Signal and Information Processing, 10-e7, 1-13 DOI
Non-local Musical Statistics as Guides for Audio-to-Score Piano Transcription, 2021, Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii, Information Sciences, 566, 262-280 DOI
プレゼンテーションにおけるスライド情報を用いた音声認識結果の自動修正, 2021, 神谷賢太郎, 川瀬卓也, 東中竜一郎, 長尾確, 情報処理学会第83回全国大会講演論文集, 2021, 215-216 DOI
Using Presentation Slides and Adjacent Utterances for Post-editing of Speech Recognition Results for Meeting Recordings, 2021, 神谷賢太郎, 川瀬卓也, 東中竜一郎, 長尾確, The 24th International Conference of Text, Speech and Dialogue (TSD2021), vol. 12848, 331-340 DOI
ユーザの演奏のベロシティ変化を考慮するドラム演奏表情付けシステム, 2021, 関晋之介, 北原鉄朗, 情報処理学会研究報告 音楽情報科学 (MUS), Vol.2021-MUS-130(36), 1-6 DOI
ギターの弦を正しく押さえるための初心者支援システム, 2021, 古庄優樹, 北原鉄朗, 情報処理学会研究報告 音楽情報科学 (MUS), Vol.2021-MUS-130(35), 1-8 DOI
スマートフォンを用いた合奏システムの試作, 2021, 廣岡彩笑, 北原鉄朗, 情報処理学会研究報告 音楽情報科学 (MUS), Vol.2021-MUS-130(24), 1-8 DOI
Simulated Emergence of Chord Function, 2021, Yui Uehara, Satoshi Tojo, The 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design, , 264-280
Deep Augmented Performers: A New Ensemble Performance System by Fusion of Melody Morphing and Body Movements, 2021, Hiroya Miura, Masatoshi Hamanaka, Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology (UIST ’21), , 129-130 DOI
Discussion on the development of feedback-based generation system for chord progressions, 2021, Yoshiteru Matsumoto, Masaki Matsubara, Hiroyoshi Ito, Hiroko Terasawa, Yuzuru Hiraga, Proceedings of the auditory research meeting, Vol. 51, No. 8, 573-577
Analysis of Usefulness of Critique Documents on Musical Performance: Toward better Instructional Document Format, 2021, M. Matsubara, R. Kagawa, T. Hirano, I. Tsuji, Towards Open and Trustworthy Digital Societies, Computer Science Vol. 13133, 344-353 DOI
CROCUS: Dataset of Musical Performance Critiques: Relationship between Critique Content and Its Utility, 2021, M. Matsubara, R. Kagawa, T. Hirano, I. Tsuji, Proceedings of the 15th International Symposium on Computer Music Multidisciplinary Research (CMMR2021), , 279-288 DOI
学会発表
Joint Estimation of Note Values and Voices for Audio-to-Score Piano Transcription, Yuki Hiramatsu, Eita Nakamura, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR)
Phase-Aware Joint Beat and Downbeat Estimation Based on Periodicity of Metrical Structure, Takehisa Oyama, Ryoto Ishizuka, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR)
Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model, Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pitch-Timbre Disentanglement of Musical Instrument Sounds Based on VEA-Based Metric Learning, Keitaro Tanaka, Ryo Nishikimi, Yoshiaki Bando, Kazuyoshi Yoshii, Shigeo Morishima, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Are Theme Songs Usable for Anime Retrieval?, Naoto Homm, Aiko Uemura, and Tetsuro Kitahara, IEEE 4th International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2021)
Unsupervised Discovery of Tonality in Bach’s Chorales, Yui Uehara, Satoshi Tojo, Ryuhei Uehara , KICCS 2021
Generalized Tonal Pitch Space with Empirical Training, H. Yamamoto, S. Tojo, SMC 2021
Estimating Unexpectedness in Jazz Harmony with a Probabilistic Incremental Parser, Yuta Ogura, Hidefumi Ohmura, Satoshi Tojo, Kouichi Katsurada, SMC 2021
Unsupervised Melody,Segmentation Based on a Nested Pitman-Yor Language Model, 2020, Shun Sawada, Kazuyoshi Yoshii, Keiji Hirata, Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), , 59-63 DOI
Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features, 2020, Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 2956-2960 DOI
Bayesian Melody Harmonization Based on a Tree-Structured Generative Model of Chord Sequences and Melodies, 2020, Hiroaki Tsushima, Eita Nakamura, Kazuyoshi Yoshii, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 1644-1655 DOI
Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories, 2020, Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 1678-1691 DOI
Recognition of Students' Mental States in Discussion Based on Multimodal Data and its Application to Educational Support, 2020, Shimeng Peng, Katashi Nagao, IEEE Access, 9, 1-16 DOI
Web-based time-span tree editor and analysis database, 2020, Masatoshi Hamanaka, Yui Isono, Keiji Hirata, Satoshi Tojo, Proceedings of the 17th Sound and Music Computing Conference (SMC2020), , 338-343 DOI
Statistical learning and estimation of piano fingering, 2020, Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii, Information Sciences, 517, 68-85 DOI
言語の構文解析から音楽の構造分析へ, 2020,平田圭二, 東条敏, 音楽知覚認知研究, 25, 29-39 DOI
学会発表
A Variational Autoencoder for Joint Chord and Key Estimation from Audio Chromagrams, Yiming Wu, Eita Nakamura, Kazuyoshi Yoshii, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training, Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Music Structure Analysis Based on an LSTM-HSMM Hybrid Model, Go Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR)
The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction, Andrew McLeod, James Owers, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR)
A Method for Analysis of Shared Structure in Large Music Collections Using Techniques from Genetic Sequencing and Graph Theory, Florian Thalmann, Kazuyoshi Yoshii, Wiggins Geraint, Mark B. Sandler, International Society for Music Information Retrieval Conference (ISMIR)
Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams, Keitaro Tanaka, Takayuki Nakatsuka, Ryo Nishikimi, Kazuyoshi Yoshii, Shigeo Morishima, International Society for Music Information Retrieval Conference (ISMIR)
Morphing-Based Reharmonization using LSTM-VAE, Aiko Uemura and Tetsuro Kitahara, The 2020 Joint Conference on AI Music Creativity (CSMC + MuMe 2020)
A Piano Ballad Arrangement System, Mio Kusachi, Aiko Uemura, and Tetsuro Kitahara, The 2020 Joint Conference on AI Music Creativity (CSMC + MuMe 2020
Morphing-Based Reharmonization using LSTM-VAE,, Aiko Uemura and Tetsuro Kitahara, The 2020 Joint Conference on AI Music Creativity (CSMC + MuMe 2020)
Development of agents that create melodies based on estimating Gaussian functions in the pitch space of consonance, Ohmura, H., Shibayama, T., Hirata, K., Tojo, S, ICAART 2020
Expectation-based parsing for Jazz Chord sequences, Yuta Ogura, Hidefumi Ohmura, Yui Uehara, Satoshi Tojo, Kouichi Katsurada, SMC 2020
Audio-guided Video Interpolation via Human Pose Features, 2020, Takayuki Nakatsuka, Masatoshi Hamanaka, Shigeo Morishima, 15th International Conference on Computer Vision Theory and Applications DOI
Reading Students’ Multiple Mental States in Conversation from Facial and Heart Rate Cues, 2020, Shimeng Peng, Shigeki Ohira and Katashi Nagao, 12th International Conference on Computer Supported Education (CSEDU 2020) DOI
マルチモーダル情報の統合により技能差に適応する楽譜追跡システム, 2020, 能登楓, 竹川佳成, 平田圭二, (社) 情報処理学会 音楽情報科学研究会 DOI
合成音声におけるヴィブラートのパラメータ自動推定, 2020, 田中瑞穂, 竹川佳成, 平田圭二, (社) 情報処理学会 音楽情報科学研究会 DOI
主成分回帰による音楽的緊張モデルの構築と特徴量の同定, 2020, 樋口梨花, 竹川佳成, 平田圭二, (社) 情報処理学会 音楽情報科学研究会 DOI
Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance, 2020, Hidefumi Ohmura, Takuro Shibayama, Keiji Hirata, and Satoshi Tojo, HAMT, 12th International Conference on Agents and Artificial Intelligence DOI
Progressive Training in Recurrent Neural Networks for Chord Progression Modeling, 2020, Trung-Kien Vu, Teeradaj Racharak, Satoshi Tojo, Nguyen Ha Thanh, Nguyen Le Minh, 12th International Conference on Agents and Artificial Intelligence DOI
HamoKara: A System that Enables Amateur Singers to Practice Backing Vocals for Karaoke, 2019, Mina Shiraishi, Kozue Ogasawara, and Tetsuro Kitahara,Journal of Information Processing, Vol.27, 0, 683-692 DOI
A Non-notewise Melody Editing Method for Supporting Musically Untrained People's Music Composition, 2019, Yusuke Tsuchiya, Tetsuro Kitahara, Journal of Creative Music Systems, Vol.3, No.1, 1-25 DOI
Improvisation Ensemble Support Systems for Music Beginners Based on Body Motion Tracking, 2019, Shugo Ichinose, Souta Mizuno, Shun Shiramatsu, Tetsuro Kitahara, International Journal of Smart Computing and Artificial Intelligence, 6, 143-185 DOI
Generating Walking Bass Lines with HMM, 2019, Ayumi Shiga and Tetsuro Kitahara, The 14th International Symposium on Computer Music Multidisciplinary Research (CMMR 2019) DOI
An Investigation towards Verbally Controllable Equalizer for Singing Voices, 2019, Seiya Masuda, Eriko Aiba, and Tetsuro Kitahara, The 5th Workshop on Intelligent Music Production (WIMP 2019) DOI
Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model, 2019,Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR) DOI
Blending Acoustic and Language Model Predictions for Automatic Music Transcription, 2019, Adrien Ycart, Andrew McLeod, Emmanouil Benetos, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR) DOI
End-to-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism, 2019, Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) DOI
Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer, 2019, Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin, Masataka Goto, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) DOI
Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Networks, 2019, Tristan Carsault, Andrew McLeod, Philippe Esling, Jerome Nika, Eita Nakamura, Kazuyoshi Yoshii, IEEE International Workshop on Machine Learning for Signal Processing (MLSP) DOI
Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned Annotations, 2019, Yiming Wu, Tristan Carsault, Kazuyoshi Yoshii, European Signal Processing Conference (EUSIPCO) DOI
Automatic Singing Transcription Based on Encoder-Decoder Recurrent Neural Networks with a Weakly-Supervised Attention Mechanism, 2019, Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model, 2019, Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior, 2019, Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
Unsupervised Melody Style Conversion, 2019, Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
Improved Metrical Alignment of MIDI Performance Based on a Repetition-Aware Online-Adapted Grammar, 2019, Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
Melody Slot Machine: A Controllable Holographic Virtual Performer, 2019, Masatoshi Hamanaka, Proceedings of the 27th ACM International Conference on Multimedia (MM’19) DOI
Melody Slot Machine: Melody Morphing by Using Time-span Tree of GTTM, 2019, Masatoshi Hamanaka, International Computer Music Conference (ICMC2019) DOI
Proposal of an Annotation Method for Integrating Musical Technique Knowledge Using a GTTM Time-Span Tree, 2019, Nami Iino, Mayumi Shimada, Takuichi Nishimura, Hideki Takeda, Masatoshi Hamanaka, Proceedings of the 25th International Conference on MultiMedia Modeling (MMM2019)
Discussion-skill Analytics with Acoustic, Linguistic and Psychophysiological Data, 2019, Katashi Nagao, Kosuke Okamoto, Shimeng Peng, Shigeki Ohira, 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2019)
AI-Powered Education: Smart Learning Environment with Large Interactive Displays, 2019, Katashi Nagao, International Display Workshops 2019
Feasibility Study of Deep Frequency Modulation Synthesis, 2019, Keiji Hirata, Masatoshi Hamanaka, Satoshi Tojo, Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR 2019) DOI
Adaptive Score-Following System by Integrating Gaze Information, 2019, Kaede Noto, Yoshinari Takegawa, and Keiji Hirata, Proceedings of 16th Sound and Music Computing Conference (SMC 2019) DOI
New Implementation Method for Generalized Frequency Modulation Synthesizer, 2019, Keiji Hirata, The 20th International Society for Music Information Retrieval Conference (ISMIR 2019)
Auditory Gestalt Formation for Exploring Dynamic Triggering Earthquakes, 2019, Matsubara, M., Uchide, T. and Morimoto, Y., 14th International Symposium on Computer Music Multidisciplinary Research (CMMR2019)
Modal Logic for Tonal Music, 2019, Satoshi Tojo, 14th International Symposium on Computer Music Multidisciplinary Research (CMMR2019) DOI
Chord Function Identification with ModulationDetection Based on HMM, 2019, Yui Uehara, Eita Nakamura, and Satoshi Tojo, 14th International Symposium on Computer Music Multidisciplinary Research (CMMR2019) DOI
Music Temperaments Evaluation Based on Triads, 2019, Tong Meihui and Satoshi Tojo, The 16th Sound and Music Computing Conference DOI
Chord Function Identification with Modulation Detection Based on HMM, 2019, Yui Uehara, Eita Nakamura, and Satoshi Tojo, (社) 情報処理学会 音楽情報科学研究会 DOI
Jazz harmony analysis based on Tonal Pitch Space, 2019, Hiroyuki Yamamoto, Satoshi Tojo, (社) 情報処理学会 音楽情報科学研究会 DOI
歌詞と音楽が与える印象の分析, 2019, 河村 翔太,植村 あい子,北原 鉄朗, 日本音響学会 2019年春季研究発表会 DOI
旋律概形と筆圧感知を用いた作曲支援システム, 2019, 安原 茜,藤井 潤子,北原 鉄朗, 情報処理学会 インタラクション2019 DOI
Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset., 2019, Xu Cao and Katashi Nagao, 25th International Conference on MultiMedia Modeling DOI
Building-Scale Virtual Reality: Another Way to Extend Real World, 2019, Katashi Nagao, Menglong Yang, Xu Cao and Yusuke Miyakawa, IEEE 2nd International Conference on Multimedia Information Processing and Retrieval DOI
Development of Agents for Creating Melodies and Investigation of Interaction between the Agents, 2019, H. Ohmura, T. Shibayama, K. Hirata, and S. Tojo, 11th International Conference on Agents and Artificial Intelligence DOI
Proposal of an Annotation Method for Integrating MusicalTechnique Knowledge Using a GTTM Time-Span Tree, 2019, Nami Iino, Mayumi Shimada, Takuichi Nishimura, Hideki Takeda, MasatoshiHamanaka, 25th International Conference on MultiMedia Modeling (MMM2019)
図書
人工知能が音楽を創る, 2019, David Cope, 平田圭二(監訳), 今井慎太郎, 大村英史, 東条敏(訳)
人工知能事典, 2019, 中島秀之他
Artificial Intelligence Accelerates Human Learning: Discussion Data Analytics, 2019, Katashi Nagao
産業財産権
信号波形合成装置および信号波形合成方法, 2019
2018年
雑誌論文
Chord-Aware Automatic Music Transcription Based on Hierarchical Bayesian Integration of Acoustic and Language Models, 2018, Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, APSIPA Transactions on Signal and Information Processing, 7-e14, 1-14 DOI
Statistical Piano Reduction Controlling Performance Difficulty, 2018, Eita Nakamura, Kazuyoshi Yoshii, APSIPA Transactions on Signal and Information Processing, 7-e13, 1-12 DOI
Generative Statistical Models with Self-Emergent Grammar of Chord Sequences, 2018, Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Journal of New Music Research, NA, 1-23 DOI
Picognizer: A JavaScript Library for Detecting and Recognizing Synthesized Sounds, 2018, Kurihara Kazutaka、Itaya Akari、Uemura Aiko、Kitahara Tetsuro、Nagao Katashi, International Conference on Advances in Computer Entertainment, NA, 339-359 DOI
学会発表
JamSketch: Improvisation Support System with GA-Based Melody Creation from User’s Drawing, 2018, Tetsuro Kitahara,Sergio Giraldo,andRafael Ramirez, CMMR 2018 DOI
Four-Part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network, 2018, Tatsuro Yamada,Tetsuro Kitahara,Hiroaki Arie,andTetsuya Ogata, CMMR 2018 DOI
JamGesture: An Improvisation Support System Based on Physical Gesture Observed with Smartphone, 2018, Souta Mizuno, Tetsuro Kitahara,Shun Shiramatsu,andShugo Ichinose, The 24th ACM Symposium on Virtual Reality Software and Technology (VRST 2018) DOI
An improvisation System for Disabilities based on Melody Creation with Gaze Control, 2018, Tetsuro Kitahara, Yasuyuki Saito, Sergio Giraldo, Rafael Ramirez, Computer Simulation of Musical Creativity (CMSC2018) DOI
Preliminary Study on Morphing of Chord Progression, 2018, Aiko Uemura, Tetsuro Kitahara, 3rd conference on Computer Simulation of Musical Creativity DOI
HamoKara: A System for Practice of Backing Vocals for Karaoke, 2018, Mina Shiraishi, Kozue Ogasawara, Tetsuro Kitahara, 15th comference on Sound and Music Computing DOI
メロディ生成における生成単位に関する一調査, 2018, 北原 鉄朗, 情報処理学会 第121回音楽情報科学 研究会 DOI
HMDを用いたヴァーチャルなドラム演奏環境の試作：合奏相手を表すヴァーチャルキャラクターの導入, 2018, 石山 俊之,北原 鉄朗, エンタテインメントコンピューティングシンポジウム2018 DOI
コード進行に関するモーフィングの初期検討, 2018, 植村 あい子, 北原 鉄朗, 情報処理学会 音楽情報科学研究会 DOI
Minutes Generation System Based on Hierarchical Discussion Structure, 2018, Hiroya Miura, Yoshinari Takegawa, Asuka Terai, Keiji Hirata, IEEE/WIC/ACM International Conference on Web Intelligence(WI) 2018 DOI
Discussion Summarization Based on Hierarchical Structure Using Verbaland Non-Verbal Information, 2018, Hiroya Miura, Yoshinari Takegawa, Asuka Terai, and Keiji Hirata, International Conferenceon Internet and Multimedia Technologies (ICIMT) 2018, in World Congresson Engineering and Computer Science DOI
Computational Detection of Local Cadence on Revised TPS, 2018, Masaki Matsubara, Yuki Ishiwa, Yui Uehara, and Satoshi Tojo, 3rd conference on Computer Simulation of Musical Creativity (CSMC2018) DOI
Music Generation System Based on a Human Instinctive Creativity, 2018, H. Ohmura, T. Shibayama, K. Hirata, and S. Tojo, Computer Simulation of Musical Creativity (CSMC2018) DOI
Development of a Music Generation System Based on a Human Instinctive Creativity and a Communication between Human and Music, 2018, H. Ohmura, APSCIT 2018 Annual Meeting DOI
Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization, 2018, Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
Correlated Tensor Factorization for Audio Source Separation , 2018, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) DOI
ndependent Low-Rank Tensor Analysis for Audio Source Separation, 2018, Kazuyoshi Yoshii, Koichi Kitamura, Yoshiaki Bando, Eita Nakamura, Tatsuya Kawahara,European Signal Processing Conference (EUSIPCO) DOI
Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model, 2018, Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR) DOI
Probabilistic Sequential Patterns for Singing Transcription, 2018, Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) DOI
Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet, 2018, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) DOI
Applying MelodyMorphing Method to Composition, 2018, Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo, 3rd Conference on ComputerSimulation of Musical Creativity (CSMC2018) DOI
GTTM Database andManual Time-span Tree Generation Tool, 2018, Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo, 15th Soundand Music Computing Conference (SMC2018) DOI
GTTMタイムスパン木を用いた楽器演奏知識のアノテーション手法の提案, 2018, 飯野なみ, 島田真弓, 西村拓一, 浜中雅俊, 情報処理学会 音楽情報科学研究会研究報告 DOI
Correlated Tensor Factorization for Audio Source Separation, 2018, Kazuyoshi Yoshii, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)（国際学会） DOI
Towards Complete Polyphonic Music Transcription: Integrating Multi-pitch Detection and Rhythm Quantization, 2018, Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)（国際学会） DOI
Development of a System to Generate Artificial Ambiance based on Entropy, 2018, H. Ohmura, T. Shibayama, M. Yuasa, T. Hamano, and R. Nakagawa, Proceedings of the 10th International Conference on Agents and Artificial Intelligence (ICAART 2018) DOI
Meeting Analytics: Creative Activity Support Based on Knowledge Discovery from Discussions, 2018, Katashi Nagao, HICSS-51, 51st Hawaii International Conference on System Sciences DOI
Automatic Evaluation of Presenters’ Discussion Performance Based on their Heart Rate, 2018, Shimeng Peng, Katashi Nagao, CSEDU 2018, the 10th International Conference on Computer Supported Education DOI
音楽音響信号の階層的クラスタリングを用いたGTTMタイムスパン木の抽出法について, 2018, 澤田隼, 名畑皓正, 竹川佳成, 平田圭二, (社) 情報処理学会 全国大会 DOI
記号と信号処理の相互作用フレームワークの構築に向けたGTTMの大域的構造を考慮した音響信号の分節の調整, 2018, 澤田隼, 竹川佳成, 平田圭二, (社) 情報処理学会 音楽情報科学研究会 DOI
暗意実現モデルに基づき作曲家識別を行うHMMについて, 2018, 能登楓, 竹川佳成, 平田圭二, (社) 情報処理学会 音楽情報科学研究会 DOI
カバーソング同定法を応用したメドレー楽曲における楽曲断片検出法の提案, 2018, 佐藤僚太, 竹川佳成, 平田圭二, (社) 情報処理学会 音楽情報科学研究会 DOI
ギター初心者のための演奏練習支援システムの提案, 2018, 宇田川真唯, 植村あい子, 北原鉄朗, 情報処理学会 第80回全国大会 DOI
カラオケのためのハモリパート練習システム;ハモリパートの自動生成および練習支援システムの試作, 2018, 白石美南, 小笠原梢, 北原鉄朗, 情報処理学会 第80回全国大会 DOI
カラオケのためのハモリパート練習支援システム;試作システムを用いた被験者実験の報告, 2018, 小笠原梢, 北原鉄朗, 白石美南, 情報処理学会 第80回全国大会 DOI
HMD を用いたヴァーチャルなドラム演奏環境の試作, 2018, 蓮井星良, 石山俊之, 北原鉄朗, 情報処理学会 第80回全国大会 DOI
合いの手「PPPH」が入る楽曲の特徴に関する一分析, 2018, 甚野健太, 大野涼平, 北原鉄朗, 情報処理学会 第80回全国大会 DOI
読書を促進する音楽付き読書アプリの提案, 2018, 草野有沙, 西由佳梨, 北原鉄朗, 情報処理学会 第80回全国大会 DOI
言語情報を持たない音を用いたヒューマン・エージェント・インタラクションシステムの開発, 2018, 棚橋徹, 小林一樹, 北原鉄朗, 情報処理学会 第80回全国大会 DOI
The Linguistic Model of Music, 2018, Satoshi Tojo, 10th Asian Conference on Intelligent Information and Database Systems
図書
ディスカッションを科学する―人間と人工知能の共生, 2018, 長尾 確
2017年
雑誌論文
Note Value Recognition for Piano Transcription Using Markov Random Fields, 2017, Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25, 1846-1858 DOI
Evidence-Based Education: Case Study of Educational Data Acquisition and Reuse, 2017, Katashi Nagao, Naoya Morita, Shigeki Ohira, Journal on Systemics, Cybernetics and Informatics: JSCI, Vol. 15, No. 7, 77-84 DOI
Relationship Between Perception of Cuteness in Female Voices and Their Durations, 2017, Ohno Ryohei、Morise Masanori、Kitahara Tetsuro, International Conference on Speech and Computer, NA, 642-650 DOI
Music Generation Using Bayesian Networks, 2017, Kitahara Tetsuro, Joint European Conference on Machine Learning and Knowledge Discovery in Databases, NA, 368-372 DOI
Audio-Visual Beat Tracking Based on a State-Space Model for a Robot Dancer Performing with a Human Dancer, 2017, Misato Ohkita, Yoshiaki Bando, Yukara Ikemiya, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Journal of Robotics and Mechatronics, 29-1, 125-136 DOI
学会発表
Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model, 2017, Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR)（国際学会） DOI
Function- and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences, 2017, Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR)（国際学会） DOI
Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment, 2017, Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose, International Society for Music Information Retrieval Conference (ISMIR)（国際学会） DOI
Infinite Probabilistic Latent Component Analysis For Audio Source Separation, 2017,Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto, IEEE International Workshop on Machine Learning for Signal Processing (MLSP)（国際学会） DOI
A Diagonal Plus Low-Rank Covariance Model For Computationally Efficient Source Separation, 2017, Antoine Liutkus, Kazuyoshi Yoshii, IEEE International Workshop on Machine Learning for Signal Processing (MLSP)（国際学会） DOI
A Singing Instrument for Real-Time Vocal-Part Arrangement of Music Audio Signals, 2017, Yuta Ojima, Tomoyasu Nakano, Satoru Fukayama, Jun Kato, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii, ound and Music Computing Conference (SMC)（国際学会） DOI
An Adaptive Karaoke System that Plays Accompaniment Parts of Music Audio Signals Synchronously with Users' Singing Voices, 2017, Yusuke Wada, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Sound and Music Computing Conference (SMC)（国際学会） DOI
調とリズムを考慮した階層隠れセミマルコフモデルに基づく歌声F0軌跡に対する音符推定, 2017 ,錦見亮, 中村栄太, 後藤真孝, 糸山克寿, 吉井和佳, 情報処理学会 第116回音楽情報科学研究会 DOI
和音系列の統計的木構造解析とSplit-Mergeサンプリングに基づくメロディへの和声付け, 2017, 津島啓晃, 中村栄太, 糸山克寿, 吉井和佳, 情報処理学会 第116回音楽情報科学研究会 DOI
楽曲中の歌声とユーザ歌唱のリアルタイムアラインメントに基づく伴奏追従型カラオケシステム, 2017, 和田雄介, 坂東宜昭, 中村栄太, 糸山克寿, 吉井和佳, 情報処理学会 第116回音楽情報科学研究会 DOI
Investigation of a Computational Unit Model for Mode and Rhythm Based on Deviations and Realizations from Musical Expectations, 2017, H. Ohmura, K. Hirata, S. Tojo, and T. Shibayama, Proceeding of 13th International Symposium on Computer Music Multidisciplinary Research (CMMR2017) DOI
音楽における期待感の逸脱・実現の計算論的定式化の試み, 2017,大村英史, 平田圭二, 東条敏, 柴山拓郎, 第31回人工知能学会全国大会 DOI
Generative Music System Based on Expectation for Musical Structure, 2017,H. Ohmura, 2017,International Symposium for Advanced Computing and Information Technology (ISACI2017) DOI
Building Scale VR: Automatically Creating Indoor 3D Maps and its Application to Simulation of Disaster Situations, 2017,Katashi Nagao, Yusuke Miyakawa, Future Technologies Conference (FTC) 2017
Picognizer: A JavaScript Library for Detecting and Recognizing Synthesized Sounds, 2017,Kazutaka Kurihara, Akari Itaya, Aiko Uemura, Tetsuro Kitahara, Katashi Nagao, ACE 2017, 14th International Conference on Advances in Computer Entertainment Technology DOI
楽曲の木構造に対する代数的操作, 2017,東条敏, 平田圭二, 松原正樹, 大村英史, 第31回人工知能学会全国大会論文集 DOI
deepGTTM-III: Simultaneous Learning of Grouping and Metrical Structures, 2017,Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo, Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR 2017) DOI
On Hierarchical Clustering of Spectrogram, 2017,Shun Sawada, Yoshinari Takegawa, Keiji Hirata, Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR 2017) DOI
Investigation of a Computational Unit Model for Mode and Rhythm Based on Deviations from and Realizations of Musical Expectations, 2017,Hidefumi Ohmura, Keiji Hirata, Satoshi Tojo, Takuro Shibayama, Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR 2017) DOI
Polyphonic Music Analysis Database Based on GTTM, 2017,Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo, Proceedings of the 2nd Conference on Computer Simulation of Musical Creativity, No.15 (CSMC 2017) DOI
Picognizer: A JavaScript Library for Detecting and Recognizing Synthesized Sounds, 2017,Kazutaka Kurihara, Akari Itaya, Aiko Uemura, Tetsuro Kitahara, Katashi Nagao, International Conference on Advances in Computer Entertainment DOI
Support System of Improvisational Ensemble Based on User’s Motion Using Smartphone Sensors, 2017,Souta Mizuno, Shugo Ichinose, Shun Siramatsu, Tetsuro Kitahara, Proceedings of 12th International Conference on Knowledge, Information and Creativity Support System (KICSS 2017)
A Music Player with Song Selection Function for a Group of People, 2017,Jun'ichi Suzuki, Tetsuro Kitahara, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017) DOI
A Pattern Recognition Approach to Analyze Temporal Evolution of a Bassist’s Musical Styles, 2017,Yoshiki Matsuura, Tetsu Tanahashi, Tetsuro Kitahara, Proceedings of the 2nd Conference on Computer Simulation of Musical Creativity
Relationship Between Perception of Cuteness in Female Voices and Their Durations, Speech and Computer, 2017, Ryohei Ohno, Masanori Morise, Tetsuro Kitahara, Proceedings of SPECOM 2017, LNAI10458 DOI
JamSketch: Improvisation Support System with GA-based Melody Creation from User’s Drawing, 2017, Tetsuro Kitahara, Sergio Giraldo, Rafael Ramirez, Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research DOI
Four-part Harmonization: Comparison of a Bayesian Network and a Recurrent Neural Network, 2017, Tatsuro Yamada, Tetsuro Kitahara, Hiroaki Arie, Tetsuya Ogata, Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research DOI
An Investigation of Pitch Perception of Poor-pitch Singers, 2017, Tetsuro Kitahara, Jun Iwasaki, Haruka Koizumi, Keisuke Nagamura, Proceedings of the 6th Conference of the Asia-Pacific Society for the Cognitive Science of Music (APSCOM 2017)
Improvisation Ensemble Support Systems for Music Beginners Based on Body Motion Tracking, 2017, Shugo Ichinose, Souta Mizuno, Shun Shiramatsu, Tetsuro Kitahara , , Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2017) DOI
Relationships between Abdominal and Around-Lip Muscle Activities and Acoustic Features when Playing the Trumpet, 2017, Megumi Satou, Tetsuro Kitahara, Hiroko Terasawa, and Masaki Matsubara, Proceedings of the 2017 International Symposium on Musical Acoustics DOI
JamSketch: A Drawing-based Real-time Evolutionary Improvisation Support System, 2017, Tetsuro Kitahara, Sergio Giraldo, and Rafael Ramirez, Proceedings of the 2017 International Conference on New Interfaces for Musial Expression (NIME 2017)
On Linear Algebraic Representation of Time-span and Prolongational Trees, 2017, Satoshi Tojo, Alan Marsden and Keiji Hirata, Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR 2017) DOI
Linguistic Musicology, 2017, Satoshi Tojo, 22nd International Conference on Natural Language & Information Systems
曲線描画に基づく即興演奏支援システム, 2017, 北原鉄朗, Sergio Giraldo, Rafael Ramirez, 情報処理学会 インタラクション 2017(インタラクティブ発表), 3-405-57 DOI
複数人が同一空間で音楽を聴くための選曲・再生システム, 2016, 鈴木 潤一, 北原 鉄朗, 情報処理学会論文誌（テクニカルノート）, 57-12, 2526-2530 DOI
Singing Voice Separation and Vocal F0 Estimation Based on Mutual Combination of Robust Principal Component Analysis and Subharmonic Summation, 2016, Yukara Ikemiya, Katsutoshi Itoyama, Kazuyoshi Yoshii, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24-11, 2084-2095 DOI
学会発表
Revisiting Cadential Retention in GTTM, 2016, Matsubara, M., Kodama, T. and Tojo, S., IEEE Conference on Knowledge and Systems Engineering, pp. 218－223, Hanoi DOI
Harmonic Analysis based on Tonal Pitch Space, 2016, Sakamoto, S., Matsubara, M., Arn, S. and Tojo, S., IEEE Conference on Knowledge and Systems Engineering, pp. 230－233, Hanoi DOI
統計的文法理論と構成的意味論に基づく音楽理解の計算モデル, 2016, 東条敏, 平田圭二, 浜中雅俊, 長尾確, 北原鉄朗, 大村英史, 松原正樹, 吉井和佳, 情報処理学会研究報告, Vol. 2016-MUS-112, No. 4, pp. 1－6 DOI
GTTMにおけるカデンツ発見アルゴリズム, 2016, 松原正樹, 東条敏, 小玉昂史, 第30回人工知能学会全国大会論文集, No. 3G4-OS-15b-2, pp. 1－4 DOI
Generative Music System with Quantitative Controllers Based on Expectation for Pitch and Rhythm Structure, 2016, H. Ohmura, T. Shibayama, and T. Hamano, Proceeding of The Eighth International Conference on Knowledge and Systems Engineering (KSE2016), Hanoi, Vietnam DOI
音高と音価の情報量操作による音楽と言語の構造, 2016, 大村英史, 柴山拓郎, 第30回人工知能学会全国大会, 3G3-OS-15a-1, 北九州 DOI
A Machine Learning Approach toSupport Music Creation by Musically Untrained People, 2016, Tetsuro Kitahara and Yuichi Tsuchiya, Proceedings of the Constructive Machine Learning Workshop, in conjunction with NIPS 2016 DOI
Towards Intuitive Music Creation Tools for Musically Untrained People, 2016, Tetsuro Kitahara, Digital Music Research Network One-day Workshop 2016 (DMRN+11)
Melodic Contour Extraction using Discrete Wavelet Transform and its Application to Melodic Similarity, 2016, Kitahara, T. and Matsubara, M., 9th International Workshop on Machine Learning and Music, pp. 31－35, Riba del Garda
Extracting Melodic Contour Using Wavelet-based Multi-resolution Analysis, 2016, Tetsuro Kitahara and Masaki Matsubara, Proceedings of the 9th International Workshop on Music and Machine Learning (MML 2016), in conjuction with ECML-PKDD 2016, pp.31--35
音符表現によらない旋律の木構造表現の検討（第2報）, 2016, 北原 鉄朗, 人工知能学会第30回全国大会（JSAI2016）, 3G3-OS-15a-3 DOI
A Bluetooth-Networked Music Player for Playing Musical Pieces Stored in Separate Devices, 2016, Junichi Suzuki and Tetsuro Kitahara, Proceedings of the 8th IEEE International Conference on Knowledge and Systems Engineering (KSE 2016)
Smart Loop Sequencer: An Audio-based Approach for Ease of Music Creation, 2016, Tetsuro Kitahara, 6th Joint Meething of the Acoustical Society of America (ASA) and the Acoustical Society of Japan (ASJ) DOI
A Tambourine Support System to Improve the Atmosphere of Karaoke: Support of Play by Multiple Players, 2016, Takuya Kurihara, Yukiko Yokomizo, Minatsu Takekoshi, Tetsuaki Baba, and Tetsuro Kitahara, Proceedings of the 8th IEEE International Conference on Knowledge and Systems Engineering (KSE 2016) DOI
deepGTTM-II: Automatic Generation of Metrical Structure based on Deep Learing Technique, 2016, Masatoshi Hamanaka, Keiji Hirata, Satashi Tojo, Sound and Music Conference (SMC2016) pp. 221-249 DOI
deepGTTM-I: Local Boundaries Analyzer based on Deep Learning Technique, 2016, Masatoshi Hamanaka, Keiji Hirata, Satashi Tojo,13th International Symposium on Computer Music Multidisciplinary Research(CMMR2016),pp. 8-20 DOI
deepGTTM-II: ディープラーニングに基づく拍節 構造分析器, 2016, 浜中雅俊, 平田圭二，東条敏, 情報処理学会 音楽情報科学研究会研究報告 2016-MUS-112, Vol. 2016, No.5, pp. 1-8 DOI
Rhythm Transcription of Polyphonic MIDI Performances Based on a Merged-Output HMM for Multiple Voices, 2016, Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama, Sound and Music Computing Conference (SMC), pp. 338-343 DOI
Rhythm Transcription of MIDI Performances Based on Hierarchical Bayesian Modelling of Repetition and Modification of Musical Note Patterns, 2016, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, European Signal Processing Conference (EUSIPCO), pp. 1946-1950 DOI
A Hierarchical Bayesian Model of Chords, Pitches, and Spectrograms for Multipitch Analysis, 2016, Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR), pp. 309-315 DOI
Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM, 2016, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, International Society for Music Information Retrieval Conference (ISMIR), pp. 461-467 DOI
NMF vs PLCA: 多重音生成過程に対する無限因子モデルと無限混合モデル, 2016, 吉井和佳, 中村栄太，糸山克寿, 後藤真孝, 情報処理学会 第112回音楽情報科学研究会 DOI
音型の反復と変形に基づく階層ベイズ音楽言語モデルとMIDI演奏のリズム採譜への応用, 2016, 中村栄太, 糸山克寿, 吉井和佳, 情報処理学会 第112回音楽情報科学研究会 DOI
視聴覚統合ビートトラッキングとリアルタイムコード認識を用いたダンス共演ロボット, 2016, 大喜多美里, 坂東宜昭, 糸山克寿, 吉井和佳, 情報処理学会 第112回音楽情報科学研究会 DOI
調・コード・音高・スペクトログラムの階層ベイズモデルに基づく多重音解析, 2016, 尾島優太, 中村栄太, 糸山克寿, 吉井和佳, 情報処理学会 第112回音楽情報科学研究会 DOI
歌声F0軌跡に対する音符推定のためのベイジアン準ビート同期HMM, 2016, 錦見亮, 中村栄太, 糸山克寿, 吉井和佳, 情報処理学会 第112回音楽情報科学研究会 DOI
Retrograde of Melody and Flip Operation for Time-Span Tree, 2016, Keiji Hirata and Satoshi Tojo, Proceedings of the 12th International Symposium on Computer Music Multidisciplinary Research (CMMR 2016), pp.298--305
An Algebraic Approach to Time-Span Reduction, in Computational Music Analysis, 2016, David Meredith (Ed), Keiji Hirata, Satoshi Tojo, and Masatoshi Hamanaka
