発表文献

論文

  • Y. Saito, S. Takamichi, and H. Saruwatari, “Voice conversion using input-to-output highway networks,” IEICE Transactions on Information and Systems, 2017. (accepted)
  • Y. Bando, H. Saruwatari, N. Ono, S. Makino, K. Itoyama, D. Kitamura, M. Ishimura, M. Takakusaki, N. Mae, K. Yamaoka, Y. Matsui, Y. Ambe, M. Konyo, S. Tadokoro, K. Yoshii, and H. G. Okuno, “Low-latency and high-quality two-stage human-voice-enhancement system for a hose-shaped rescue robot,” Journal of Robotics and Mechatronics, vol. 29, no. 1, 2017. [DOI]
  • S. Takamichi, T. Toda, G. Neubig, S. Sakti, and S. Nakamura, “A statistical sample-based approach to GMM-based voice conversion using tied-covariance acoustic models,” IEICE Transactions on Information and Systems, vol. E99-D, no. 10, pp. 2490-2498, 2016. [DOI]
  • D. Kitamura, N. Ono, H. Sawada, H. Kameoka, and H. Saruwatari, “Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 9, pp. 1626-1641, 2016. [DOI]
  • S. Koyama, K. Furuya, K. Wakayama, S. Shimauchi, and H. Saruwatari, “Analytical approach to transforming filter design for sound field recording and reproduction using circular arrays with a spherical baffle,” Journal of the Acoustical Society of America, vol. 139, no. 3, pp. 1024-1036, 2016. [DOI]
  • Y. Oshima, S. Takamichi, T. Toda, G. Neubig, S. Sakti, and S. Nakamura, “Non-native text-to-speech preserving speaker individuality based on partial correction of prosodic and phonetic characteristics,” IEICE Transactions on Information and Systems, vol. E99-D, no. 12, 2016. [DOI]
  • S. Koyama, K. Furuya, Y. Haneda, and H. Saruwatari, “Source-location-informed sound field recording and reproduction,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 5, pp. 881-894, 2015. [DOI]
  • D. Kitamura, H. Saruwatari, H. Kameoka, Y. Takahashi, K. Kondo, and S. Nakamura, “Multichannel signal separation combining directional clustering and nonnegative matrix factorization with spectrogram restoration,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no. 4, pp. 654-669, 2015. [DOI]
  • F. D. Aprilyanti, J. Even, H. Saruwatari, K. Shikano, S. Nakamura, and T. Takatani, “Suppresion of noise and late reverberation based on blind signal extraction and wiener filtering,” Acoustical Science and Technology, vol. 36, no. 6, pp. 302-313, 2015. [DOI]
  • S. Koyama, K. Furuya, Y. Hiwasaki, Y. Haneda, and Y. Suzuki, “Wave field reconstruction filtering in cylindrical harmonic domain for with-height recording and reproduction,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 10, pp. 1546-1557, 2014. [DOI]
  • S. Koyama, K. Furuya, H. Uematsu, Y. Hiwasaki, and Y. Haneda, “Real-time sound field transmission system by using wave field reconstruction filter and its evaluation,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E97-A, no. 9, pp. 1840-1848, 2014. [DOI]
  • R. Miyazaki, H. Saruwatari, S. Nakamura, K. Shikano, K. Kondo, J. Blanchette, and M. Bouchard, “Musical-noise-free blind speech extraction integrating microphone array and iterative spectral subtraction,” Signal Processing (Elsevier), vol. 102, pp. 226-239, 2014. [DOI]
  • T. Aketo, H. Saruwatari, and S. Nakamura, “Robust sound field reproduction against listener’s movement utilizing image sensor,” Journal of Signal Processing, vol. 18, no. 4, pp. 213-216, 2014. [DOI]
  • T. Miyauchi, D. Kitamura, H. Saruwatari, and S. Nakamura, “Depth estimation of sound images using directional clustering and activation-shared nonnegative matrix factorization,” Journal of Signal Processing, vol. 18, no. 4, pp. 217-220, 2014. [DOI]
  • D. Kitamura, H. Saruwatari, K. Yagi, K. Shikano, Y. Takahashi, and K. Kondo, “Music signal separation based on supervised nonnegative matrix factorization with orthogonality and maximum-divergence penalties,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E97-A, no. 5, pp. 1113-1118, 2014. [DOI]

書籍

  • 小山. 翔一, “Q01 サンプリング定理をやさしく教えてください,” in 音響学入門ペディア, 羽田. 陽一, 大川. 茂樹, and 木谷. 俊介, Eds., コロナ社, 2017.
  • 高道. 慎之介, “Q04 z変換をやさしく教えてください,” in 音響学入門ペディア, 羽田. 陽一, 大川. 茂樹, and 木谷. 俊介, Eds., コロナ社, 2017.
  • 北村. 大地, “Q11 ビームフォーミングって何ですか?,” in 音響学入門ペディア, 羽田. 陽一, 大川. 茂樹, and 木谷. 俊介, Eds., コロナ社, 2017.
  • 猿渡洋, “ブラインド音源分離,” in 音響キーワードブック, 日本音響学会, Ed., コロナ社, 2016, pp. 386-387.
  • 猿渡洋, “音源分離,” in 機械力学ハンドブック ―動力学・振動・制御・解析―, 金子成彦 and 大熊政明, Eds., 朝倉書店, 2015, pp. 533-535.
  • 猿渡洋, “音響の波動論とデジタルモデル基礎,” in 機械力学ハンドブック ―動力学・振動・制御・解析―, 金子成彦 and 大熊政明, Eds., 朝倉書店, 2015, pp. 523-527.
  • H. Saruwatari and R. Miyazaki, “Statistical analysis and evaluation of blind speech extraction algorithms,” in Advances in modern blind source separation techniques: theory and applications, G. Naik and W. Wang, Eds., Springer, 2014, pp. 291-322. [DOI]
  • 小山翔一, “波面再構成フィルタに基づくリアルタイム音場伝送,” in 感覚デバイス開発 ?機器が担うヒト感覚の生成・拡張・代替技術?, エヌ・ティー・エス, 2014.

解説記事など

  • 小山翔一, “未来の音の収録・再生・編集技術の実現に向けて(創立100周年記念特集 「基礎・境界」が支えた100年,これからの100年),” 電子情報通信学会誌, vol. 100, no. 6, 2017.
  • 小山翔一, “スパース音場表現に基づく超解像型収音・再現 (<小特集>スパース表現に基づく音響信号処理),” 日本音響学会誌, vol. 71, no. 11, pp. 632-638, 2015.
  • 猿渡洋, “小特集「マイクロホンアレーの新しい技術展開」にあたって,” 日本音響学会誌, vol. 70, no. 7, pp. 371-372, 2014.
  • 古家賢一 and 小山翔一, “波面合成技術の原理と応用 (特集: 立体音響技術),” 映像情報メディア学会誌, vol. 68, no. 8, pp. 621-624, 2014.
  • 小山翔一, “サイバースペースにおける空間 (ちょっとしたエッセイ, コーヒーブレーク),” 日本音響学会誌, vol. 70, no. 4, p. 231, 2014.
  • 猿渡洋, “逆フィルタによる音場再現技術 (特集: 立体音響技術),” 映像情報メディア学会誌, vol. 68, no. 8, pp. 612-615, 2014.

招待講演

  • D. Kitamura, N. Ono, and H. Saruwatari, “Experimental analysis of optimal window length for independent low-rank matrix analysis,” in Proceedings of Proceedings of 25th European Signal Processing Conference, Greek island of Kos, 2017.
  • S. Koyama, N. Murata, and H. Saruwatari, “Effect of multipole dictionary in sparse sound field decomposition for super-resolution in recording and reproduction,” in Proceedings of International Congress on Sound and Vibration (ICSV), London, 2017. (to appear)
  • 猿渡洋, “ブラインド音源分離再考 -時空間の非ガウス・スパース・低ランクモデリング-,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-8-12.
  • 亀岡弘和, 小野順貴, and 猿渡洋, “音響分野におけるブラインド適応信号処理の展開,” in 電子情報通信学会総合大会, 2017.
  • S. Takamichi, “Speech synthesis that deceives anti-spoofing verification,” in NII Talk, 2016.
  • 高道慎之介, “なりすましセキュリティを騙す高品質音声合成・変換,” in 4th Microsoft Research Intern Alumni Networking, 2016.
  • H. Nakajima, D. Kitamura, N. Takamune, S. Koyama, H. Saruwatari, Y. Takahashi, and K. Kondo, “Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation,” in Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Jeju, 2016.
  • S. Koyama, N. Murata, and H. Saruwatari, “Super-resolution in sound field recording and reproduction based on sparse representation,” in 5th joint meeting of the acoustical society of america and acoustical society of japan, Honolulu, 2016. (invited)
  • 高道慎之介, “統計的音声合成・変換の高品質化と言語教育応用,” in 京都大学 学術情報メディアセンター セミナー, 2016.
  • 高道慎之介, “統計的音声合成・変換の高品質化とその応用,” in 山梨大学 テニュアトラック普及・定着事業 第56回サイエンスカフェ講演会, 2016.
  • H. Saruwatari, K. Takata, N. Ono, and S. Makino, “Flexible microphone array based on multichannel nonnegative matrix factorization and statistical signal estimation,” in The 22nd international congress on acoustics (ICA2016), 2016.
  • S. Koyama, “Source-location-informed sound field recording and reproduction: a generalization to arrays of arbitrary geometry,” in Proceedings of 2016 AES International Conference on sound field control, Guildford, 2016.
  • S. Koyama, A. Matsubayashi, N. Murata, and H. Saruwatari, “Sparse sound field decomposition using group sparse bayesian learning,” in Asia-pacific signal and information processing association annual summit and conference (APSIPA ASC), 2015, pp. 850-855.
  • 小山翔一, “スパース信号表現って何?,” in 日本音響学会秋季研究発表会, ビギナーズセミナー:今話題のあの技術ってどうなってるの?, 2015.
  • D. Kitamura, N. Ono, H. Sawada, H. Kameoka, and H. Saruwatari, “Relaxation of rank-1 spatial constraint in overdetermined blind source separation,” in In Proceedings of The 2015 European Signal Processing Conference (EUSIPCO2015), Nice, 2015, pp. 1271-1275.
  • H. Saruwatari, “Statistical-model-based speech enhancement with musical-noise-free properties,” in In Proceedings of 2015 IEEE International Conference on Digital Signal Processing (DSP2015), Singapore, 2015.
  • 猿渡洋, “統計的バイノーラル信号表現とその音源分離への応用,” in 電子情報通信学会技術研究報告(電気/応用音響), 2015.
  • D. Kitamura, H. Saruwatari, S. Nakamura, Y. Takahashi, K. Kondo, and H. Kameoka, “Hybrid multichannel signal separation using supervised nonnegative matrix factorization with spectrogram restoration,” in APSIPA ASC, Siem Reap, 2014.
  • 猿渡洋, “高次統計量は何を語る? ~ 教師無し学習に基づく自律的な音メディア信号処理 ~,” in 音学シンポジウム2014, 2014.
  • 小山翔一, “音場再現技術の基本原理と展開,” in 音学シンポジウム2014, 2014.

国際会議

  • S. Takamichi, T. Koriyama, and H. Saruwatari, “Sampling-based speech parameter generation using moment-matching network,” in Proceedings of Interspeech, Stockholm, 2017. (to appear)
  • D. Kitamura, N. Ono, and H. Saruwatari, “Experimental analysis of optimal window length for independent low-rank matrix analysis,” in Proceedings of Proceedings of 25th European Signal Processing Conference, Greek island of Kos, 2017.  [Invited]
  • H. Miyoshi, Y. Saito, S. Takamichi, and H. Saruwatari, “Voice conversion using sequence-to-sequence learning of context posterior probabilities,” in Proceedings of Interspeech, Stockholm, 2017. (to appear)
  • S. Koyama, N. Murata, and H. Saruwatari, “Effect of multipole dictionary in sparse sound field decomposition for super-resolution in recording and reproduction,” in Proceedings of International Congress on Sound and Vibration (ICSV), London, 2017. (to appear)  [Invited]
  • R. Sato, H. Kameoka, and K. Kashino, “Fast algorithm for statistical phrase/accent command estimation based on generative model incorporating spectral features,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, 2017, pp. 5595-5599.
  • Y. Saito, S. Takamichi, and H. Saruwatari, “Training algorithm to deceive anti-spoofing verification for dnn-based speech synthesis,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, 2017, pp. 4900-4904.  [Spoken Language Processing Student Grant]
  • Y. Mitsui, D. Kitamura, S. Takamichi, N. Ono, and H. Saruwatari, “Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, 2017, pp. 21-25.  [Student Paper Contest Finalist]
  • N. Ueno, S. Koyama, and H. Saruwatari, “Listening-area-informed sound field reproduction with gaussian prior based on circular harmonic expansion,” in Proceedings of Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco, 2017, pp. 196-200.
  • N. Ueno, S. Koyama, and H. Saruwatari, “Listening-area-informed sound field reproduction based on circular harmonic expansion,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, 2017, pp. 111-115.
  • N. Murata, S. Koyama, N. Takamune, and H. Saruwatari, “Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, 2017, pp. 441-445.
  • N. Mae, M. Ishimura, D. Kitamura, N. Ono, T. Yamada, S. Makino, and H. Saruwatari, “Ego noise reduction for hose-shaped rescue robot combining independent low-rank matrix analysis and multichannel noise cancellation,” in Proceedings of International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), Grenoble, 2017, pp. 141-151.
  • H. Nakajima, D. Kitamura, N. Takamune, S. Koyama, H. Saruwatari, Y. Takahashi, and K. Kondo, “Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation,” in Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Jeju, 2016.  [Invited]
  • S. Koyama, N. Murata, and H. Saruwatari, “Super-resolution in sound field recording and reproduction based on sparse representation,” in Proceedings of 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu, 2016.  [Invited]
  • D. Kitamura, N. Ono, H. Saruwatari, Y. Takahashi, and K. Kondo, “Discriminative and reconstructive basis training for audio source separation with semi-supervised nonnegative matrix factorization,” in Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), Xian, 2016.
  • L. Li, H. Kameoka, T. Higuchi, and H. Saruwatari, “Semi-supervised joint enhancement of spectral and cepstral sequences of noisy speech,” in Proceedings of Interspeech, San Francisco, 2016, pp. 3753-3757.
  • K. Kobayashi, S. Takamichi, S. Nakamura, and T. Toda, “The NU-NAIST voice conversion system for the voice conversion challenge 2016,” in Proceedings of Interspeech, San Francisco, 2016, pp. 1667-1671.
  • M. Takakusaki, D. Kitamura, N. Ono, T. Yamada, S. Makino, and H. Saruwatari, “Ego-noise reduction for a hose-shaped rescue robot using determined rank-1 multichannel nonnegative matrix factorization,” in Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), Xian, 2016.
  • M. Ishimura, S. Makino, T. Yamada, N. Ono, and H. Saruwatari, “Noise reduction using independent vector analysis and noise cancellation for a hose-shaped rescue robot,” in Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), Xian, 2016.
  • H. Nakajima, D. Kitamura, N. Takamune, S. Koyama, H. Saruwatari, N. Ono, Y. Takahashi, and K. Kondo, “Music signal separation using supervised nmf with all-pole-model-based discriminative basis deformation,” in Proceedings of The 2016 European Signal Processing Conference (EUSIPCO), Budapest, 2016, pp. 1143-1147.
  • N. Murata, H. Kameoka, K. Kinoshita, S. Araki, T. Nakatani, S. Koyama, and H. Saruwatari, “Reverberation-robust underdetermined source separation with non-negative tensor double deconvolution,” in Proceedings of The 2016 European Signal Processing Conference (EUSIPCO), Budapest, 2016, pp. 1648-1652.
  • S. Koyama, “Source-location-informed sound field recording and reproduction: a generalization to arrays of arbitrary geometry,” in Proceedings of 2016 AES International Conference on Sound Field Control, Guildford, 2016.  [Invited]
  • Y. Mitsufuji, S. Koyama, and H. Saruwatari, “Multichannel blind source separation based on non-negative tensor factorization in wavenumber domain,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, 2016, pp. 56-60.
  • N. Murata, S. Koyama, H. Kameoka, N. Takamune, and H. Saruwatari, “Sparse sound field decomposition with multichannel extension of complex nmf,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, 2016, pp. 345-349.
  • S. Koyama and H. Saruwatari, “Sound field decomposition in reverberant environment using sparse and low-rank signal models,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, 2016, pp. 395-399.
  • S. Koyama, A. Matsubayashi, N. Murata, and H. Saruwatari, “Sparse sound field decomposition using group sparse bayesian learning,” in Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2015, pp. 850-855.  [Invited]
  • N. Murata, S. Koyama, N. Takamune, and H. Saruwatari, “Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction,” in Proceedings of IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015. [DOI]
  • S. Koyama, K. Ito, and H. Saruwatari, “Source-location-informed sound field recording and reproduction with spherical arrays,” in Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, 2015. [DOI]
  • D. Kitamura, N. Ono, H. Sawada, H. Kameoka, and H. Saruwatari, “Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, 2015, pp. 276-280.
  • S. Koyama, N. Murata, and H. Saruwatari, “Structured sparse signal models and decomposition algorithm for super-resolution in sound field recording and reproduction,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, 2015, pp. 619-623.
  • Y. Murota, D. Kitamura, S. Koyama, H. Saruwatari, and S. Nakamura, “Statistical modeling of binaural signal and its application to binaural source separation,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, 2015, pp. 494-498.
  • H. Saruwatari, “Statistical-model-based speech enhancement with musical-noise-free properties,” in In Proceedings of 2015 IEEE International Conference on Digital Signal Processing (DSP2015), Singapore, 2015.  [Invited]
  • D. Kitamura, N. Ono, H. Sawada, H. Kameoka, and H. Saruwatari, “Relaxation of rank-1 spatial constraint in overdetermined blind source separation,” in Proceedings of European Signal Processing Conference (EUSIPCO), Nice, 2015, pp. 1261-1265. [DOI]  [Invited]
  • D. Kitamura, H. Saruwatari, S. Nakamura, Y. Takahashi, K. Kondo, and H. Kameoka, “Hybrid multichannel signal separation using supervised nonnegative matrix factorization with spectrogram restoration,” in Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Siem Reap, 2014.  [Invited]
  • S. Koyama, P. Srivastava, K. Furuya, S. Shimauchi, and H. Ohmuro, “STSP: space-time stretched pulse for measuring spatio-temporal impulse response,” in Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC), 2014, pp. 309-313. [DOI]
  • S. Nakai, H. Saruwatari, R. Miyazaki, S. Nakamura, and K. Kondo, “Theoretical analysis of biased MMSE short-time spectral amplitude estimator and its extension to musical-noise-free speech enhancement,” in Proceedings of Hands-free Speech Communication and Microphone Arrays (HSCMA), Nancy, 2014. [DOI]
  • F. Aprilyanti, H. Saruwatari, K. Shikano, S. Nakamura, and T. Takatani, “Optimized joint noise suppression and dereverberation based on blind signal extraction for hands-free speech recognition system,” in Proceedings of Hands-free Speech Communication and Microphone Arrays (HSCMA), Nancy, 2014. [DOI]
  • S. Koyama, S. Shimauchi, and H. Ohmuro, “Sparse sound field representation in recording and reproduction for reducing spatial aliasing artifacts,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, 2014, pp. 4476-4480. [DOI]
  • Y. Haneda, K. Furuya, S. Koyama, and K. Niwa, “Close-talking spherical microphone array using sound pressure interpolation based on spherical harmonic expansion,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, 2014, pp. 604-608. [DOI]
  • Y. Murota, D. Kitamura, S. Nakai, H. Saruwatari, S. Nakamura, Y. Takahashi, and K. Kondo, “Music signal separation based on bayesian spectral amplitude estimator with automatic target prior adaptation,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, 2014, pp. 7540-7544. [DOI]
  • D. Kitamura, H. Saruwatari, S. Nakamura, Y. Takahashi, K. Kondo, and H. Kameoka, “Divergence optimization in nonnegative matrix factorization with spectrogram restoration for multichannel signal separation,” in Proceedings of Hands-free Speech Communication and Microphone Arrays (HSCMA), Nancy, 2014. [DOI]

国内会議

  • 三好裕之, 齋藤佑樹, 高道慎之介, and 猿渡洋, “コンテキスト事後確率のsequence-to-sequence学習を用いた音声変換とdual learningの評価,” in 電子情報通信学会技術研究報告, 2017.
  • 齋藤大輔, 森勢将雅, 饗庭絵里子, 伊藤貴之, 大谷真, 北原鉄朗, 塩田さやか, 高道慎之介, 滝口哲也, 深山覚, 吉井和佳, and 渡邉貫治, “音学シンポジウム2017の開催にあたって,” in 情報処理学会研究報告, 2017.
  • 猿渡洋, “ブラインド音源分離再考 -時空間の非ガウス・スパース・低ランクモデリング-,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-8-12.
  • 南條浩輝, 高道慎之介, 北原鉄朗, and 森勢将雅, “外国語音声を好みの声質にかえる技術の検討– 聞きつづけたくなる外国語教材をめざして–,” in 情報処理学会研究報告, 2017.
  • 三井祥幹, 溝口聡, 猿渡洋, 越智景子, 北村大地, 小野順貴, 石村大, 前成美, 高草木萌, 松井裕太郎, 山岡洸瑛, and 牧野昭二, “柔軟索状ロボットにおける独立低ランク行列分析と統計的音声強調に基づく高品質ブラインド音源分離の開発,” in 日本機械学会 ロボティクス・メカトロニクス講演会 (robomech 2017), 2017, p. 1P2-P04.
  • 安部祐一, 坂東宜昭, 永野光, 昆陽雅司, 山崎公俊, 糸山克寿, 猿渡洋, 岡谷貴之, 奥乃博, and 田所論, “感覚機能統合型能動スコープカメラの開発,” in 日本機械学会 ロボティクス・メカトロニクス講演会 (robomech 2017), 2017, p. 1P2-P01.
  • 大野涼平, 高道慎之介, 森勢将雅, and 北原鉄朗, “統計的声質変換における印象変化の調査,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 2-P-39.
  • 高道慎之介 and 中村哲, “Gmmに基づく固有声変換のための変調スペクトル制約付きトラジェクトリ学習・適応,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-6-9.
  • 佐藤遼太郎, 亀岡弘和, and 柏野邦夫, “韻律指令列推定のための基本周波数・音韻特徴量系列同時生成モデルの検討,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-6-1.
  • 高道慎之介, 郡山知樹, and 猿渡洋, “Moment matching networkを用いた音声パラメータのランダム生成の検討,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 2-6-9.
  • 遠藤宣明, 中嶋広明, 高宗典玄, 高道慎之介, 猿渡洋, 小野順貴, 高橋祐, and 近藤多伸, “Nmfにおける識別的基底学習のための停留点条件を利用した2段階最適化,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-1-5.  [日本音響学会, 学生優秀発表賞]
  • 三井祥幹, 溝口聡, 猿渡洋, 越智景子, 北村大地, 小野順貴, 石村大, 前成美, 高草木萌, 松井裕太郎, 山岡洸瑛, and 牧野昭二, “独立低ランク行列分析と統計的音声強調を用いた柔軟索状ロボットにおけるブラインド音源分離システムの開発,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-P-3.
  • 三好裕之, 齋藤佑樹, 高道慎之介, and 猿渡洋, “コンテキスト事後確率のsequence-to-sequence学習を用いた音声変換,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-6-15.
  • 齋藤佑樹, 高道慎之介, and 猿渡洋, “Highway networkを用いた差分スペクトル法に基づく敵対的dnn音声変換,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 1-6-14.
  • 高道慎之介, 郡山知樹, and 猿渡洋, “Moment-matching networkに基づく音声合成における音声パラメータのランダム生成,” in 情報処理学会研究報告, 2017.
  • 齋藤佑樹, 高道慎之介, and 猿渡洋, “敵対的dnn音声合成におけるf0・継続長の生成,” in 日本音響学会2017年春季研究発表会講演論文集, 2017, p. 2-6-6.
  • 浅見太一, 小川厚徳, 小川哲司, 大谷大和, 倉田岳人, 齋藤大輔, 塩田さやか, 高道慎之介. 篠原雄介 鈴木雅之, 南條浩輝, 橋本佳, 樋口卓哉, 増村亮, 吉野幸一郎, and 渡部晋治, “国際会議interspeech2016報告,” in 情報処理学会研究報告, 2017, pp. 1-7.
  • 齋藤佑樹, 高道慎之介, and 猿渡洋, “Dnnテキスト音声合成のための anti-spoofing に敵対する学習アルゴリズム,” in 情報処理学会研究報告, 2017, pp. 1-6.
  • 植野夏樹, 小山翔一, and 猿渡洋, “受聴エリア事前情報を用いた音場再現 ~任意のスピーカ配置と指向特性における検証~,” in 電子情報通信学会技術研究報告, 2017, pp. 7-12.  [電気音響研究会, 学生研究奨励賞]
  • 三井祥幹, 北村大地, 高道慎之介, 小野順貴, and 猿渡洋, “スパース時系列正則化付き独立低ランク行列分析における効率的な解法の検討,” in 電子情報通信学会技術研究報告, 2017, pp. 25-30.
  • 亀岡弘和, 小野順貴, and 猿渡洋, “音響分野におけるブラインド適応信号処理の展開,” in 電子情報通信学会総合大会, 2017.
  • 佐藤遼太郎, 亀岡弘和, and 柏野邦夫, “基本周波数パターンと音韻特徴量系列の同時生成モデルによる韻律指令列推定,” in 電子情報通信学会技術研究報告, 2016, pp. 43-48.  [音声研究会, 学生ポスター賞]
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  • 植野夏樹, 小山翔一, and 猿渡洋, “受聴エリア事前情報を用いた音場再現 ―直線状アレイによる検証―,” in 日本音響学会秋季研究発表会講演論文集, Toyama, 2016, p. 415-418 (3-7-17).  [日本音響学会, 学生優秀発表賞]
  • 束村陽, 小山翔一, and 猿渡洋, “残響環境下音場分解のための信号モデルと分離アルゴリズムの検討,” in 日本音響学会秋季研究発表会講演論文集, Toyama, 2016, p. 389-392 (3-7-9).
  • 三井祥幹, 北村大地, 高道慎之介, and 猿渡洋, “スパース時系列正則化に基づく独立低ランク行列分析を用いたブラインド音源分離,” in 日本音響学会秋季研究発表会講演論文集, Toyama, 2016, p. 325-328 (1-7-3).
  • 村田直毅, 小山翔一, 高宗典玄, and 猿渡洋, “多重極辞書を用いたスパース音場分解の検討,” in 日本音響学会秋季研究発表会講演論文集, Toyama, 2016, p. 393-396 (3-7-10).
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  • 竹川佳成, 植村あい子, 奥村健太, 高道慎之介, 中村友彦, 平井辰典, 森尻有貴, and 矢澤櫻子, “新博士によるパネルディスカッションv「新博士さんいらっしゃい!」,” in 情報処理学会研究報告, 2016, p. 1-6 (2016-MUS-112).
  • 齋藤佑樹, 高道慎之介, and 猿渡洋, “Anti–spoofingに敵対するdnn音声変換の評価,” in 電子情報通信学会技術研究報告, 2016, pp. 29-34.  [音声研究会, 学生ポスター賞]
  • 小山翔一, 古家賢一, 羽田陽一, and 猿渡洋, “音源位置事前情報を用いた超解像型音場収音・再現における空間相関分布の導入,” in 日本音響学会春季研究発表会講演論文集, 2015, p. 635-638 (3-10-13).
  • 小山翔一, 村田直毅, and 猿渡洋, “超解像型音場収音・再現のためのグループスパース信号表現と分解アルゴリズム,” in 日本音響学会春季研究発表会講演論文集, 2015, p. 639-642 (3-10-14).
  • 北村大地, 小野順貴, 澤田宏, 亀岡弘和, and 猿渡洋, “過決定条件bssにおけるランク1空間制約の緩和,” in 日本音響学会春季研究発表会講演論文集, 2015, p. 629-632 (3-10-11).
  • 室田勇騎, 北村大地, 小山翔一, 猿渡洋, and 中村哲, “バイノーラル音源分離における時系列事前分布モデルとスペクトル基底の同時適応,” in 電子情報通信学会技術研究報告(電気/応用音響), 2015, pp. 27-32.
  • 北村大地, 小野順貴, 澤田宏, 亀岡弘和, and 猿渡洋, “多チャネル非負値行列因子分解におけるランク1空間モデルの音源分離性能評価,” in 音学シンポジウム2015(第107回音楽情報科学研究会), 2015.
  • 猿渡洋, “統計的バイノーラル信号表現とその音源分離への応用,” in 電子情報通信学会技術研究報告(電気/応用音響), 2015.  [招待講演]
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  • 小山翔一 and 猿渡洋, “球・円状マイクロフォンアレイ信号からバイノーラル信号への変換に対する解析的アプローチ,” in 日本音響学会秋季研究発表会講演論文集, 2015, p. 685-686 (2-P-3).
  • 村田直毅, 小山翔一, 高宗典玄, and 猿渡洋, “スパース音場分解とパラメトリック辞書学習による超解像型収音・再現,” in 日本音響学会秋季研究発表会講演論文集, 2015, p. 671-674 (1-P-32).
  • 北村大地, 猿渡洋, 小野順貴, 澤田宏, and 亀岡弘和, “ランク1空間近似を用いたbssにおける音源及び空間モデルの考察,” in 日本音響学会秋季研究発表会講演論文集, 2015, p. 583-586 (3-6-10).
  • 村田直毅, 小山翔一, 亀岡弘和, 高宗典玄, and 猿渡洋, “スパース音場分解における時間周波数領域低ランクモデルの導入,” in 日本音響学会秋季研究発表会講演論文集, 2015, p. 569-572 (3?6-6).  [日本音響学会, 学生優秀発表賞]
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  • 小山翔一 and 猿渡洋, “スパース性と低ランク性に基づく信号表現による音場分解,” in 日本音響学会秋季研究発表会講演論文集, 2015, p. 565-568 (3-6-5).
  • 室田勇騎, 北村大地, 小山翔一, 猿渡洋, and 中村哲, “バイノーラル信号音源分離における両耳事前分布モデルの考察,” in 日本音響学会秋季研究発表会講演論文集, 2014, p. 595–598 (1-1-3).  [日本音響学会, 学生優秀発表賞]
  • 小山翔一, 島内末廣, and 大室仲, “スパース音場表現に基づく音場収音・再現の超解像化,” in 日本音響学会秋季研究発表会講演論文集, 2014, p. 571–574 (2-1-9).
  • D. Kitamura, N. Ono, H. Sawada, H. Kameoka, and H. Saruwatari, “Efficient multichannel nonnegative matrix factorization with rank-1 spatial model,” in 日本音響学会秋季研究発表会講演論文集, 2014, p. 579–582 (2-1-11).
  • 室田勇騎, 北村大地, 小山翔一, 猿渡洋, and 中村哲, “チャネル別事前分布推定と両耳共通スペクトルゲインを用いた定位保持型バイノーラル音源分離,” in 第29回 信号処理シンポジウム, 2014, pp. 486-491.
  • 小山翔一, 島内末廣, and 猿渡洋, “超解像型音場収音・再現のためのスパース音場表現とパラメトリック辞書学習,” in 第29回 信号処理シンポジウム, 2014, pp. 478-483.