深山 覚（ふかやま さとる）
国立研究開発法人 産業技術総合研究所 人工知能研究センター 知的メディア処理研究チーム 研究チーム長。専門は音楽音声情報処理・地震波形処理。
コロナ社「メディアテクノロジーシリーズ２ 音楽情報処理」（後藤真孝 編著 ）第２章「自動作曲」執筆（2023/9/28 初版）
日刊工業新聞「技術で未来拓く・産総研の挑戦（161）音楽印象分析」（2021/03/04）
ITmedia NEWS「人工知能で「ヒット曲」難しい理由 ”良い音楽”は科学できるのか」(2018/11/8)
ITmedia NEWS「機械が作った音楽は人の心を動かすか 「AIで自動作曲」研究するワケ」(2018/11/9)
経歴
2003年 岡山白陵中学校・高等学校 卒業
2008年 東京大学理学部地球惑星物理学科 卒業; 学士（理学）
2010年 東京大学大学院情報理工学系研究科システム情報学専攻 修士課程修了; 修士（情報理工学）
2011年8月 フランス国立情報学自動制御研究所（INRIA Rennes）にて在外研究
2013年 東京大学大学院情報理工学系研究科システム情報学専攻 博士課程修了; 博士（情報理工学）
2013年 独立行政法人産業技術総合研究所 入所; 研究員
2015年 国立研究開発法人産業技術総合研究所（法改正）; 研究員
2017年- 国立研究開発法人産業技術総合研究所; 主任研究員
2018年4月-9月 中央研究院（台北）にて在外研究（訪問學人）
2023年 国立研究開発法人産業技術総合研究所; 企画主幹
2024年1月 国立研究開発法人産業技術総合研究所; 主任研究員
2024年4月 国立研究開発法人産業技術総合研究所; 研究チーム長
受賞
2022年 日本音響学会 学会活動貢献賞
2015年 Sound and Music Computing Conference (SMC2015) Best Paper Award (First author: Smith Jordan)
2009年 情報処理学会 山下記念研究賞
研究内容
信号処理・機械学習を活用する人工知能技術の研究を行っています。専門技能を必要とする処理を人と計算機が協働する方法を考え、様々な産業分野や社会における課題の発見・定式化・解決を推進しています。
キーワード：音楽・音声・身体動作の情報処理・地震波形処理
音楽自動生成
確率モデルを用いたメロディー・和音・ドラムパートの自動生成
メロディ自動和声付け
自動編曲（ピアノ・ギター・弦楽四重奏・合唱・ジャズスタイル）
演奏表情付け・自動演奏
日本語歌詞からの歌唱曲自動生成
Contour-Preserving Melody Conversion, Satoru Fukayama, Masataka Goto, International Computer Music Conference 2021 (ICMC2021), pp.172-177, 2021
Automatic melody harmonization with triad chords: A comparative study, Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, Yi-Hsuan Yang, Journal of New Music Research, vol. 50, issue 1, pp. 37-51, Jan. 2021
Chord Jazzification: Learning Jazz Interpretations of Chord Symbols, Tsung-Ping Chen, Satoru Fukayama, Masataka Goto, Li Su, 21th International Society for Music Information Retrieval Conference (ISMIR2020), pp. 360-367, Oct. 2020
Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure, Shun Sawada, Satoru Fukayama, Masataka Goto, Keiji Hirata, 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2019), pp. 391-395, May 2019.
Audio-Based Automatic Generation of a Piano Reduction Score by Considering the Musical Structure, Hirofumi Takamori, Takayuki Nakatsuka, Satoru Fukayama, Masataka Goto, Shigeo Morishima, 25th International Conference on MultiMedia Modeling (MMM2019), pp. 169-181, Jan. 2019.
CTcomposer: An Interface for Music Composition Considering Intra-Composer Consistency and Musical Typicality, Hiromi Nakamura, Tomoyasu Nakano, Satoru Fukayama, Masataka Goto, The 15th Sound and Music Computing Conference (SMC 2018), pp. 500-507, Jul. 2018.
Song2Guitar: A Difficulty-Aware Arrangement System for Generating Guitar Solo Covers from Polyphonic Audio of Popular Music, Shunya Ariga, Satoru Fukayama, Masataka Goto, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR2017), pp. 568-574, Oct. 2017.
A Singing Instrument for Real-time Vocal-part Arrangement of Music Audio Signals, Yuta Ojima, Tomoyasu Nakano, Satoru Fukayama, Jun Kato, Masataka Goto, Kazutoshi Itoyama, Kazuyoshi Yoshii, Proceedings of the 14th Sound and Music Computing Conference (SMC-17), pp. 443-449, Jul. 2017
Song2Quartet: A System for Generating String Quartet Cover Songs from Polyphonic Audio of Popular Music, Graham Percival, Satoru Fukayama, Masataka Goto, Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR2015), pp.114-120, Oct. 2015
AutoGuitarTab: Computer-Aided Composition of Rhythm and Lead Guitar Parts in the Tablature Space, McVicar James Matthew, Satoru Fukayama, Masataka Goto, IEEE Transactions on Audio Speech and Language Processing, 23-7, pp .1105-1117, Apr. 2015
AutoLeadGuitar: Automatic generation of guitar solo phrases in the tablature space, McVicar James Matthew, Satoru Fukayama, Masataka Goto, Proceedings of the 12th IEEE International Conference on Signal Processing (ICSP2014), pp.599-604, Oct. 2014
HarmonyMixer: Mixing the Character of Chords among Polyphonic Audio, Satoru Fukayama, Masataka Goto, Proceedings of the 40th International Computer Music Conference and 11th Sound&Music Computing conference (Joint ICMC|SMC 2014 Conference), pp.1513-1510, Sep. 2014
AutoRhythmGuitar: Computer-aided composition for Rhythm Guitar in the Tab Space, McVicar James Matthew , Satoru Fukayama, Masataka Goto, Proceedings of the 40th International Computer Music Conference and 11th Sound&Music Computing conference (JointICMC|SMC|2014Conference), pp.293-300, Sep. 2014
AutoChorusCreator: Four-Part Chorus Generator with Musical Feature Control Using Search Spaces Constructed from Rules of Music Theory, Benjamin Evans, Satoru Fukayama, Masataka Goto, Nagisa Munekata, Tetsuo Ono, Proceedings of the 40th International Computer Music Conference and 11th Sound&Music Computing conference (JointICMC|SMC|2014Conference), pp.1016-1023, Sep. 2014
Chord-Sequence-Factory: A Chord Arrangement System Modifying Factorized Chord Sequence Probabilities, Satoru Fukayama, Kazuyoshi Yoshii, Masataka Goto, Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR2013), pp.457-462, Nov. 2013
Melody harmonisation with interpolated probabilistic models, Stanislaw. Raczynski, Satoru Fukayama, Emmanuel. Vincent, Journal of New Music Research, vol. 42, issue 3, pp. 223-235, Oct. 2013
Automatic Music Composition from Japanese Lyrics with Probabilistic Formulation, Satoru Fukayama, Doctoral Dissertation, the University of Tokyo, 甲29607, Mar. 2013.
Assistance for Novice Users on Creating Songs from Japanese Lyrics, Satoru Fukayama, Daisuke Saito, Shigeki Sagayama, Proceedings of ICMC, pp.441-446, Sep. 2012
Automatic Arrangement for Guitars using Hidden Markov Model, Gen Hori, Yuma Yoshinaga, Satoru Fukayama, Shigeki Sagayama, Proceedings of SMC, pp.450-456, Jul. 2012
An Interactive Music Composition System Based on Autonomous Maintenance of Musical Consistency, Tetsuro Kitahara, Satoru Fukayama, Shigeki Sagayama, Haruhiro Katayose, Noriko Nagata, Proceedings of SMC, Jul. 2011
Polyhymnia: An automatic piano performance system with statistical modeling of polyphonic expression and musical symbol interpretation, Tae Hun Kim, Satoru Fukayama, Takuya Nishimoto, Shigeki Sagayama, Proceedings of NIME, pp.96-99, May 2011
Lexical Tones Learning with Automatic Music Composition System Considering Prosody of Mandarin Chinese, Siwei Qin, Satoru Fukayama, Takuya Nishimoto, Shigeki Sagayama, Proceedings of L2WS, O4-2, 4 pages, Sep. 2010
Performance rendering for polyphonic piano music with a combination of probabilistic models for melody and harmony, Tae Hun Kim, Satoru Fukayama, Takuya Nishimoto, Shigeki Sagayama, Proceedings of SMC, pp.23-30, Jul. 2010
Automatic Song Composition from the Lyrics exploiting Prosody of the Japanese Language, Satoru Fukayama, Kei Nakatsuma, Shinji Sako, Takuya Nishimoto, Shigeki Sagayama, Proceedings of SMC, pp. 299-302, Jul. 2010
Orpheus: Automatic Composition System Considering Prosody of Japanese Lyrics (demo paper), Satoru Fukayama, Kei Nakatsuma, Shinji Sako, Yu-ichiro Yonebayashi, Tae Hun Kim, Qin Si Wei, Takuho Nakano, Takuya Nishimoto, Shigeki Sagayama, Proceedings of ICEC 2009, LNCS, Springer, Sep. 2009
ダンス情報処理
ダンス自動生成
ダンス動作による音楽検索
ダンス動作編集支援
二次元画像からの姿勢推定
DanceUnisoner: A Parametric, Visual, and Interactive Simulation Interface for Choreographic Composition of Group Dance, Shuhei Tsuchida, Satoru Fukayama, Jun Kato, Hiromu Yakura, and Masataka Goto, Vol.E107-D, No.3, pp.386-399, Mar. 2024.
MirrorNet: A Deep Reflective Approach to 2D Pose Estimation for Single-Person Images, Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama, Satoru Fukayama, Masataka Goto, Shigeo Morishima, Journal of Information Processing, 2021
AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing, Shuhei Tsuchida; Satoru Fukayama; Masahiro Hamasaki; Masataka Goto, 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp. 501-510, Nov. 2019.
Query-by-Dancing: A Dance Music Retrieval System Based on Body-Motion Similarity, Shuhei Tsuchida, Satoru Fukayama, Masataka Goto, 25th International Conference on MultiMedia Modeling (MMM2019), pp. 251-263, Jan. 2019.
An Automatic System for Editing Dance Videos Recorded by Multiple Cameras, Shuhei Tsuchida, Satoru Fukayama, Masataka Goto, Proceedings of the 14th International Conference on Advances in Computer Entertainment Technology (ACE2017), 18 pages, Dec. 2017.
Authoring System for Choreography Using Dance Motion Retrieval and Synthesis, Ryo Kakitsuka, Tsukuda Kosetsu, Satoru Fukayama, Naoya Iwamoto, Masataka Goto, Shigeo Morishima, Proceedings of the 30th Conference on Computer Animation and Social Agents (ACM CASA2017), pp.122-131, May 2017
A choreographic authoring system for character dance animation reflecting a user's preference, Ryo Kakitsuka, Kosetsu Tsukuda, Satoru Fukayama, Naoya Iwamoto, Masataka Goto, Shigeo Morishima, Proceeding s of SIGGRAPH/Eurographics Symposium on Computer Animation (ACM SCA2016), Article No. 5, Jul. 2016
Music Content Driven Automated Choreography with Beat-wise Motion Connectivity Constraints, Satoru Fukayama, Masataka Goto, Proceedings of the 12th Sound and Music Computing Conference (SMC2015), pp.177-183, Jul. 2015
Automated Choreography Synthesis Using a Gaussian Process Leveraging Consumer-Generated Dance Motions, Satoru Fukayama, Masataka Goto, Proceedings of ACE2014, Article No.23, Nov. 2014
歌詞情報処理
歌詞創作支援インタフェース
歌詞言語モデル
A Melody-conditioned Lyrics Language Model, Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, Tomoyasu Nakano, Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), pp. 163-172, June 2018.
Modeling Storylines in Lyrics, Kento watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Masataka Goto, IEICE Transaction on Information and Systems, Vol. E101.D, No. 4, pp. 1167-1179, 2018.
LyriSys: An Interactive Support System for Writing Lyrics Based on Topic Transition, Kento Watanabe, Yuichiro Matsubayashi, Kentaro Inui, Tomoyasu Nakano, Satoru Fukayama, Masataka Goto, Proceedings of the International Conference on Intelligent User Interfaces (ACM IUI2017), pp.559-563, Mar. 2017
Modeling Discourse Segments in Lyrics Using Repeated Patterns, Kento Watanabe, Yuichiro Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Smith Jordan, Masataka Goto, Proceedings of the 26th International Conference on Computational Linguistics (COLING2016), pp.1959-1969, Dec. 2016
音楽情報検索
音楽印象分析
歌唱者ダイアライゼーション
拍節構造推定
音楽推薦
オンセット検出・自動採譜
能動的音楽鑑賞インタフェース・音楽パズル
SingDistVis: Interactive Overview+Detail Visualization for F0 Trajectories of Numerous Singers Singing the Same Song, Takayuki Ito, Tomoyasu Nakano, Masahiro Hamasaki, Masataka Goto, Multimedia Tools and Applications, 2024 (accepted)
Jacappela Corpus: A Japanese a Cappela Vocal Ensemble Corpus, Tomohiko Nakamura, Shinnosuke Takamichi, Naoko Tanji, Satoru Fukayama, Hiroshi Saruwatari, Proceedings of the 48th IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP2023), 2023
Hyperbolic Timbre Embedding for Musical Instrument Sound Synthesis Based on Variational Autoencoders, Futa Nakashima, Tomohiko Nakamura, Norihiro Takamune, Satoru Fukayama, Hiroshi Saruwatari, Asia Pacific Signal and Information Processing Association Annual Summit and Conference, pp. 736-743, Nov. 2022
Singer Diarization for Polyphonic Music with Unison Singing, Hitoshi Suda, Daisuke Saito, Satoru Fukayama, Tomoyasu Nakano, Masataka Goto, IEEE-ACM Transaction on Audio Speech and Language Processing, vol. 30, pp. 1531-1545, 2022 doi: 10.1109/TASLP.2022.3166262.
Joint Beat and Downbeat Tracking Based on CRNN Models and a Comparison of Using Different Context Ranges in Convolutional Layers, Tian Cheng, Satoru Fukayama, Masataka Goto, International Computer Music Conference pp. 239-244, 2021 (paper published in 2020, presentation postponed to 2021).
ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation, Kosetsu Tsukuda, Satoru Fukayama, Masataka Goto, 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2019), pp. 1197-1200, July 2019.
Automatic Singing Transcription based on Encoder-Decoder Recurrent Neural Networks with a Weakly-Supervised Attention Mechanism, Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii, 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2019), pp. 161-165, May 2019.
Joint Transcription of Lead, Bass, and Rhythm Guitars based on a Factorial Hidden Semi-Markov Model, Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2019), pp. 236-240, May 2019.
Listener Anonymizer: Camouflaging Play Logs to Preserve User’s Demographic Anonymity, Kosetsu Tsukuda, Satoru Fukayama, Masataka Goto, The 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp. 687-694, Sep. 2018.
Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation, Takumi Takahashi, Satoru Fukayama, Masataka Goto, The 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp. 561-568, Sep. 2018.
Comparing RNN Parameters for Melodic Similarity, Tian Cheng, Satoru Fukayama, Masataka Goto, The 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp. 763-770, Sep. 2018.
Convolving Gaussian Kernels for RNN-based Beat Tracking, Tian Cheng, Satoru Fukayama, Masataka Goto, The 26th European Signal Processing Conference (EUSIPCO 2018), pp. 1919-1923, Sep. 2018.
ChordScanner: Browsing Chord Progressions based on Musical Typicality and Intra-Composer Consistency, Hiromi Nakamura, Tomoyasu Nakano, Satoru Fukayama, Masataka Goto, The 43rd International Computer Music Conference (ICMC 2018), pp. 250-255, Aug. 2018.
The CrossSong Puzzle: Developing a Logic Puzzle for Musical Thinking, Jordan B. L. Smith, Jun Kato, Satoru Fukayama, Graham Percival, Masataka Goto, Journal of New Music Research, vol. 46, issue 3, pp.213-228, Mar. 2017
Music Emotion Recognition with adaptive aggregation of Gaussian Process Regressors, Satoru Fukayama, Masataka Goto, Proceedings of the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP2016), pp.71-75, Mar. 2016
CrossSongPuzzle: Generating and Unscrambling Music Mashups with Real-time Interactivity, Smith Jordan, Graham Percival, Jun Kato, Masataka Goto, Satoru Fukayama, Proceedings of the 12th Sound and Music Computing Conference (SMC2015), pp.61-67, Jul. 2015
音声・マルチメディア情報処理
音声感情認識
音響・物体除去
Exploiting Fine-tuning of Self-supervised Learning Models for Improving Bi-modal Sentiment Analysis and Emotion Recognition, Wei Yang, Satoru Fukayama, Panikos Heracleous, Jun Ogata, Interspeech, pp.1998-2002, Sep. 2022
Applying Generative Adversarial Networks and Vision Transformers in Speech Emotion Recognition, Panikos Heracleous, Satoru Fukayama, Jun Ogata, Yasser Mohammad, HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments, LNCS, vol. 13519, pp. 67-75, 2022
Audio-Visual Object Removal in 360-Degree Videos, Ryo Shimamura, Feng Qi, Yuki Koyama, Takayuki Nakatsuka, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto, Shigeo Morishima, The Visual Computer, 36, pp. 2117–2128, Jul. 2020
博士論文
Automatic Music Composition from Japanese Lyrics with Probabilistic Formulation, Satoru Fukayama, Doctoral Dissertation, the University of Tokyo, 甲29607, Mar. 2013（指導教官：嵯峨山 茂樹 教授）
査読付き学術論文
SingDistVis: Interactive Overview+Detail Visualization for F0 Trajectories of Numerous Singers Singing the Same Song, Takayuki Ito, Tomoyasu Nakano, Masahiro Hamasaki, Masataka Goto, Multimedia Tools and Applications, DOI 10.1007/s11042-024-18932-3, 2024
DanceUnisoner: A Parametric, Visual, and Interactive Simulation Interface for Choreographic Composition of Group Dance, Shuhei Tsuchida, Satoru Fukayama, Jun Kato, Hiromu Yakura, and Masataka Goto, Vol.E107-D, No.3, pp.386-399, Mar. 2024.
Singer Diarization for Polyphonic Music with Unison Singing, Hitoshi Suda, Daisuke Saito, Satoru Fukayama, Tomoyasu Nakano, Masataka Goto, IEEE-ACM Transaction on Audio Speech and Language Processing, vol. 30, pp. 1531-1545, 2022 doi: 10.1109/TASLP.2022.3166262.
MirrorNet: A Deep Reflective Approach to 2D Pose Estimation for Single-Person Images, Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama, Satoru Fukayama, Masataka Goto, Shigeo Morishima, Journal of Information Processing, Feb. 2021
Automatic melody harmonization with triad chords: A comparative study, Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, Yi-Hsuan Yang, Journal of New Music Research, vol. 50, issue 1, pp. 37-51, Jan. 2021
Audio-Visual Object Removal in 360-Degree Videos, Ryo Shimamura, Feng Qi, Yuki Koyama, Takayuki Nakatsuka, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto, Shigeo Morishima, The Visual Computer, 36, 2117–2128, Jul. 2020
INSTRUDIVE: 楽器編成の自動認識に基づく楽曲探索システム, 髙橋 卓見, 深山 覚, 後藤 真孝, 情報処理学会論文誌 61(4), 777-788, 2020-04-15, 2020
TransDrums:ドラムのフィルインとドラムパターン遷移確率に着目した2曲間のドラムパターン対応付け手法, 澤田 隼, 深山 覚, 後藤 真孝, 平田 圭二, 情報処理学会論文誌, 61(4), 768-776, 2020-04-15, 2020
歌声と楽曲構造を入力とした歌唱時の表情アニメーション自動生成手法, 加藤 卓哉, 深山 覚, 中野 倫靖, 後藤 真孝, 森島 繁生, 画像電子学誌 第48巻 第2号 (通巻248号), pp. 303-314, 2019
Modeling Storylines in Lyrics, Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Masataka Goto, IEICE Transaction on Information and Systems, Vol. E101.D, No. 4, pp. 1167-1179, 2018
The CrossSong Puzzle: Developing a Logic Puzzle for Musical Thinking, Jordan B. L. Smith, Jun Kato, Satoru Fukayama, Graham Percival, Masataka Goto, Journal of New Music Research, vol. 46, issue 3, pp.213-228, Mar. 2017
AutoGuitarTab: Computer-Aided Composition of Rhythm and Lead Guitar Parts in the Tablature Space, McVicar James Matthew, Satoru Fukayama, Masataka Goto, IEEE Transactions on Audio Speech and Language Processing, 23-7, pp .1105-1117, Apr. 2015
Melody harmonisation with interpolated probabilistic models, Stanislaw. Raczynski, Satoru Fukayama, Emmanuel. Vincent, Journal of New Music Research, vol. 42, issue 3, pp. 223-235, Oct. 2013
創作過程の分類に基づく自動音楽生成研究のサーベイ, 松原 正樹, 深山 覚, 奥村 健太, 寺村 佳子, 大村 英史, 橋田 光代, 北原 鉄朗, コンピュータソフトウェア, 2013 年 30 巻 1 号 p. 1_101-1_118, 2013
音楽要素の分解再構成に基づく日本語歌詞からの旋律自動作曲, 深山 覚, 中妻 啓, 酒向 慎司, 西本 卓也, 小野 順貴, 嵯峨山 茂樹, 情報処理学会論文誌 54(5), 1709-1720, 2013-05-15, 2013
著書
Chapter "Automatic Composition" in Music Information Processing, S. Fukayama, Corona Publishing, 2023
Chapter “Automatic Composition with Probabilistic Methods” in Acoustical Keyword Book, S. Fukayama, Corona Publishing, 2016
An Introduction to Digital Signal Processing with Exercises on Excel, Y. Fukayama, O. Fukayama, S. Fukayama, Corona Publishing, 2013
Chapter “Statistical modeling of expressive polyphonic piano renditions” in “Handbook of Computing Expressive Music Performance (eds. E. Miranda, A. Kirke), T. H. Kim, S. Fukayama, T. Nishimoto, S. Sagayama, Springer Verlag, 2012
招待・依頼講演
自動作曲への飽くなき挑戦, 深山覚, IPSJ-ONE 2021, 2021/03/20
Mining Creation Methods from Music Data for Automated Content Generation, Satoru Fukayama, Masataka Goto, Machine Learning for Music Discovery Workshop, ICML, Sydney, Australia, 2017/08/11
パネルディスカッション：人工知能は作曲家／演奏家になれるか？, 平田 圭二, 伊藤 貴之, 深山 覚, 北原 鉄朗, 今井 慎太郎, 持橋 大地, 2017年度人工知能学会全国大会（第31回）, 名古屋, 2017/5/24
Adaptive Aggregation of Regression Models for Music Emotion Recognition, Satoru Fukayama, Masataka Goto, ASA ASJ Joint Meeting, Hawaii, USA, 2016/11/29
招待講演「音楽とコンテンツ生成」, 深山 覚, 後藤 真孝, 情報処理学会 第112回音楽情報科学研究発表会, 東京理科大学 野田キャンパス, 2016/07/31
チュートリアル「音楽情報処理の基礎知識」, 深山 覚, 情報処理学会 第111回 音楽情報科学研究会（音学シンポジウム2016）, 東京, 2016/05/22
解説・総説
音楽とコンテンツ生成, 深山 覚, 後藤 真孝, 情報処理（情報処理学会誌）, 57-6, pp.516-518, 2016
自動作曲・自動編曲の現状と課題, 北原 鉄朗, 深山 覚, 電子情報通信学会誌, 98-6, pp.475-479, 2015
確率的手法による歌唱 曲の自動作曲, 嵯峨山茂樹, 酒向慎司, 堀玄, 深山覚, システム/制御/情報, Vol.56, No.5, pp.219-225, 2012
日本語歌詞からの自動作曲, オペレーションズリサーチ, 嵯峨山茂樹, 中妻啓, 深山覚, 酒向慎司, 西本卓也, Vol.54, No.9, pp.546-553, 2009