Nakamura Tomohiko 中村友彦

Researcher Number	50866308
Other IDs	https://orcid.org/0000-0003-4385-7170
Affiliation (Current)	2024: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員
Affiliation (based on the past Project Information) *help	2023 – 2024: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 2020 – 2022: 東京大学, 大学院情報理工学系研究科, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 61010:Perceptual information processing-related Except Principal Investigator Medium-sized Section 61:Human informatics and related fields / Basic Section 61010:Perceptual information processing-related
Keywords	Principal Investigator 音源分離 / 音響情景分析 / 深層分析合成 / 人間介入型 / 機械学習 / 深層学習 / 音響信号処理 / 多重解像度解析 / 時間領域深層学習 Except Principal Investigator 機械学習 … More / 歌声相互作用 / コーパス / 歌声合成 / バーチャルリアリティ / 音響信号処理 / 音場解析 / 信号処理 / 音源分離 / 音響拡張現実感 / スモールデータ Less

人間の介入可能性を考慮した音響情景分析のための深層分析合成基盤の開拓とその深化Principal Investigator
- Principal Investigator
  
  中村友彦
- Project Period (FY)
  2023 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  National Institute of Advanced Industrial Science and Technology
Singing voice synthesis that can form ensemble with humans and computers
- Principal Investigator
  
  高道慎之介
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  The University of Tokyo
Data-driven sound field measurement for high-resolution spatial audio analysis and its applications
- Principal Investigator
  
  小山翔一
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  National Institute of Informatics
  The University of Tokyo
Research on acoustic scene analysis by integrating time-domain deep leraning and multiresolution analysisPrincipal Investigator
- Principal Investigator
  
  Nakamura Tomohiko
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  The University of Tokyo
Acoustic Augmented Reality and Auditory Communication Ability Expansion Based on Small-Data Machine Learning Theory
- Principal Investigator
  
  Saruwatari Hiroshi
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 61:Human informatics and related fields
- Research Institution
  The University of Tokyo

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] SelfRemaster: Self-Supervised Speech Restoration for Historical Audio Resources2023
- Author(s)
  Saeki Takaaki、Takamichi Shinnosuke、Nakamura Tomohiko、Tanji Naoko、Saruwatari Hiroshi
- Journal Title
  
  IEEE Access
  
  Volume: 11 Pages: 144831-144843
- DOI
  10.1109/access.2023.3345027
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22KJ0838, KAKENHI-PROJECT-23K28108
[Journal Article] Sampling-Frequency-Independent Convolutional Layer and its Application to Audio Source Separation2022
- Author(s)
  Koichi Saito、Tomohiko Nakamura、Kohei Yatabe、Hiroshi Saruwatari
- Journal Title
  
  IEEE/ACM Transactions on Audio, Speech, and Language Processing
  
  Volume: 30 Pages: 2928-2943
- DOI
  10.1109/taslp.2022.3203907
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19818
[Journal Article] Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds2021
- Author(s)
  Nakamura Tomohiko、Kameoka Hirokazu
- Journal Title
  
  IEEE/ACM Transactions on Audio, Speech, and Language Processing
  
  Volume: 29 Pages: 68-82
- DOI
  10.1109/taslp.2020.3037487
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19818
[Journal Article] Time-Domain Audio Source Separation With Neural Networks Based on Multiresolution Analysis2021
- Author(s)
  Nakamura Tomohiko、Kozuka Shihori、Saruwatari Hiroshi
- Journal Title
  
  IEEE/ACM Transactions on Audio, Speech, and Language Processing
  
  Volume: 29 Pages: 1687-1701
- DOI
  10.1109/taslp.2021.3072496
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19818, KAKENHI-PROJECT-19H01116
[Presentation] 歌唱者間相互作用を再現するDNN重唱歌声合成の検討2024
- Author(s)
  兵藤弘明, 高道慎之介, 中村友彦, 小口純矢, 猿渡洋
- Organizer
  情報処理学会音楽情報科学研究会
- Data Source
  KAKENHI-PROJECT-23K28108
[Presentation] コンプレッサー処理された信号の復元に関する検討2024
- Author(s)
  王檬, 赤石夏輝, 中村友彦, 山田宏樹, 矢田部浩平
- Organizer
  日本音響学会春季研究発表会
- Data Source
  KAKENHI-PROJECT-23K28108
[Presentation] Universal Sound Separationへのサンプリング周波数非依存畳み込み層の適用2023
- Author(s)
  中村友彦, 矢田部浩平
- Organizer
  日本音響学会秋季研究発表会
- Data Source
  KAKENHI-PROJECT-23K28108
[Presentation] サンプリング周波数非依存畳み込み層における非整数ストライド処理アルゴリズム2023
- Author(s)
  今村奏海, 中村友彦, 高宗典玄, 矢田部浩平, 猿渡洋
- Organizer
  日本音響学会秋季研究発表会
- Data Source
  KAKENHI-PROJECT-23K28108
[Presentation] jaCappella corpus: A Japanese a cappella vocal ensemble corpus2023
- Author(s)
  Tomohiko Nakamura、Shinnosuke Takamichi、Naoko Tanji、Satoru Fukayama、Hiroshi Saruwatari
- Organizer
  IEEE International Conference on Acoustics, Speech, and Signal Processing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] 歌唱者間相互作用を再現するDNN重唱歌声合成の検討2023
- Author(s)
  兵藤弘明 , 高道慎之介 , 中村友彦 , 小口純矢 , and 猿渡洋
- Organizer
  情報処理学会音楽情報科学研究会
- Data Source
  KAKENHI-PROJECT-23K18474
[Presentation] How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics2023
- Author(s)
  Joonyong Park, Shinnosuke Takamichi, Tomohiko Nakamura, Kentaro Seki, Detai Xin, Hiroshi Saruwatari
- Organizer
  INTERSPEECH
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28108
[Presentation] jaCappellaコーパスv2：重唱分離・合成のための日本語アカペラ重唱コーパスの拡張2023
- Author(s)
  中村友彦 , 高道慎之介 , 丹治尚子 , 深山覚 , and 猿渡洋
- Organizer
  情報処理学会音楽情報科学研究会
- Data Source
  KAKENHI-PROJECT-23K18474
[Presentation] 音源分離技術の基礎と応用～音源分離チョットワカルになるための手引き～2023
- Author(s)
  北村大地, 中村友彦
- Organizer
  音学シンポジウム2023
- Invited
- Data Source
  KAKENHI-PROJECT-23K28108
[Presentation] Hyperbolic Timbre Embedding for Musical Instrument Sound Synthesis Based on Variational Autoencoders2022
- Author(s)
  Futa Nakashima, Tomohiko Nakamura, Norihiro Takamune, Satoru Fukayama, and Hiroshi Saruwatari
- Organizer
  Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2022 (APSIPA ASC 2022)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning2022
- Author(s)
  Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, and Hiroshi Saruwatari
- Organizer
  nternational Workshop on Acoustic Signal Enhancement (IWAENC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24864
[Presentation] 時間チャネル非負値行列因子分解を用いた被り音抑圧における初期値頑健性の比較2022
- Author(s)
  溝渕悠朔, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸
- Organizer
  日本音響学会第148回(2022年秋季)研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation2022
- Author(s)
  Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura, and Hiroshi Saruwatari
- Organizer
  International Workshop on Acoustic Signal Enhancement (IWAENC)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24864
[Presentation] 楽音合成のための Gauss 混合変分自己符号化器への定曲率非 Euclid 空間の導入と実験的比較2022
- Author(s)
  中島風太，中村友彦，高宗典玄，深山覚，猿渡洋
- Organizer
  日本音響学会第148回(2022年秋季)研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 差分近似型Helmholtz方程式に基づく損失関数を用いた深層学習による少数観測点からの音場推定2022
- Author(s)
  重見和秀, 小山翔一, 中村友彦, 猿渡洋
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-23K24864
[Presentation] 球波動関数展開を用いた深層学習による少数測定データからの頭部伝達関数補間2022
- Author(s)
  伊藤悠貴, 中村友彦, 小山翔一, 猿渡洋
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-23K24864
[Presentation] jaCappella コーパス:重唱分離・合成に向けた日本語アカペラ歌唱コーパス2022
- Author(s)
  中村友彦，高道慎之介，丹治尚子，深山覚，猿渡洋
- Organizer
  日本音響学会第148回(2022年秋季)研究発表会
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] スプライン補間に基づく音場表現を用いたPhysics-Informed Neural Networksによる音場推定－散乱体を含む領域に関する検証－2022
- Author(s)
  重見和秀, 小山翔一, 中村友彦, 猿渡洋
- Organizer
  日本音響学会秋季研究発表会講演論文集
- Data Source
  KAKENHI-PROJECT-23K24864
[Presentation] 双曲空間への音色埋め込みを用いたガウス混合変分自己符号化器による楽音合成の検討2022
- Author(s)
  中島風太，中村友彦，高宗典玄，深山覚，猿渡洋
- Organizer
  第134回音楽情報科学・第142回音声言語情報処理合同研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 音源位置で条件付けた自己符号化器を用いた少数測定データからの頭部伝達関数補間2022
- Author(s)
  伊藤悠貴, 中村友彦, 小山翔一, 猿渡洋
- Organizer
  日本音響学会秋季研究発表会講演論文集
- Data Source
  KAKENHI-PROJECT-23K24864
[Presentation] Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation2021
- Author(s)
  Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
- Organizer
  European Signal Processing Conference (EUSIPCO 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation2021
- Author(s)
  Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
- Organizer
  European Signal Processing Conference (EUSIPCO 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] アンチエイリアシング機構を導入したサンプリング周波数非依存な畳み込み層を用いた音源分離2021
- Author(s)
  齋藤弘一, 中村友彦, 矢田部浩平, 小泉悠馬, 猿渡洋
- Organizer
  情報処理学会第130回音楽情報科学研究会
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] 潜在アナログフィルタ表現に基づく畳み込み層を用いたサンプリング周波数非依存なDNN音源分離2021
- Author(s)
  齋藤弘一, 中村友彦, 矢田部浩平, 小泉悠馬, 猿渡洋
- Organizer
  日本音響学会2021年春季研究発表会
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] 独立深層学習行列分析を用いたランク制約付き空間共分散行列推定による音声強調2021
- Author(s)
  三澤颯大，中村友彦，高宗典玄，北村大地，猿渡洋
- Organizer
  日本音響学会2021秋季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 多重解像度深層分析を用いた楽音分離の実験的評価2021
- Author(s)
  中村友彦、猿渡洋
- Organizer
  音学シンポジウム2021（第131回音楽情報科学研究会）
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] 非負値行列因子分解を用いた被り音の抑圧2021
- Author(s)
  溝渕悠朔, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸
- Organizer
  第132回音楽情報科学研究会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models2021
- Author(s)
  Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
- Organizer
  Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA ASC 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation2021
- Author(s)
  Naoki Narisawa、Rintaro Ikeshita、Norihiro Takamune、Daichi Kitamura、Tomohiko Nakamura、Hiroshi Saruwatari、Tomohiro Nakatani
- Organizer
  European Signal Processing Conference 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] Sampling-frequency-independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method2021
- Author(s)
  Koichi Saito、Tomohiko Nakamura、Kohei Yatabe、Hiroshi Saruwatari
- Organizer
  European Signal Processing Conference 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] Speech enhancement by noise self-supervised rank-constrained spatial covariance matrix estimation via independent deeply learned matrix analysis2021
- Author(s)
  Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, and Shoji Makino
- Organizer
  Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA ASC 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Prior distribution design for music bleeding-sound reduction based on nonnegative matrix factorization2021
- Author(s)
  Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
- Organizer
  Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA ASC 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 非負値行列因子分解を導入したproduct of experts型音源モデルに基づく独立深層学習行列分析による多チャネル音源分離2021
- Author(s)
  蓮実拓也，中村友彦，高宗典玄，猿渡洋，北村大地，高橋祐，近藤多伸
- Organizer
  第131回音楽情報科学研究会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] ヘビーテイル生成モデルに基づく独立深層学習テンソル分析2021
- Author(s)
  成澤直輝、池下林太郎、高宗典玄、北村大地、中村友彦、猿渡洋、中谷智広
- Organizer
  日本音響学会 2021年秋季研究発表会
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] Product of Priors型確率分布を導入した音源モデルに基づく独立深層学習行列分析による多チャネル音源分離2021
- Author(s)
  蓮実拓也，中村友彦，高宗典玄，猿渡洋，北村大地，高橋祐，近藤多伸
- Organizer
  日本音響学会2021秋季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] サンプリング周波数非依存音源分離モデルを用いた楽音分離の実験的評価2021
- Author(s)
  齋藤弘一、中村友彦、矢田部浩平、猿渡洋
- Organizer
  日本音響学会 2021年秋季研究発表会
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] 多重解像度深層分析を用いた楽音分離の実験的評価2021
- Author(s)
  中村友彦，猿渡洋
- Organizer
  音学シンポジウム2021
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 独立深層学習テンソル分析に基づく多チャネル?源分離2021
- Author(s)
  成澤直輝，池下林太郎，高宗典玄，北村大地，中村友彦，猿渡洋，中谷智広
- Organizer
  日本音響学会2021春季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 深層学習に基づく周波数帯域予測による高速音源分離法の実験的評価2021
- Author(s)
  渡辺瑠伊, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸
- Organizer
  第24回日本音響学会関西支部若手研究者交流研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 深層学習に基づく間引きインジケータ付き周波数帯域補間手法による音源分離処理の高速化2021
- Author(s)
  渡辺瑠伊, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸
- Organizer
  日本音響学会 2021年秋期研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] ヘビーテイル生成モデルに基づく独立深層学習テンソル分析2021
- Author(s)
  成澤直輝，池下林太郎，高宗典玄，北村大地，中村友彦，猿渡洋，中谷智広
- Organizer
  日本音響学会2021秋季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 経験ベイズ独立深層学習行列分析による多チャネル音源分離2021
- Author(s)
  蓮実拓也，中村友彦，高宗典玄，猿渡洋，北村大地，高橋祐，近藤多伸
- Organizer
  日本音響学会2021春季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] 周波数領域でのフィルタ設計に基づくサンプリング周波数非依存畳み込み層を用いたDNN音源分離2021
- Author(s)
  齋藤弘一、中村友彦、矢田部浩平、猿渡洋
- Organizer
  音学シンポジウム2021（第131回音楽情報科学研究会）
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] 音源分離のための周波数間相関を考慮した多変量複素Gauss分布に基づく深層学習による分散共分散行列推定の検討2020
- Author(s)
  成澤直輝，高宗典玄，北村大地，中村友彦，猿渡洋
- Organizer
  日本音響学会2020秋季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] ニューラルネットワークとウェーブレット基底関数の同時学習に基づく多重解像度深層分析を用いた時間領域音源分離2020
- Author(s)
  小塚詩穂里, 中村友彦, 猿渡洋
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] リフティングスキームによる離散ウェーブレット変換を導入した深層ニューラルネットに基づく時間領域音源分離2020
- Author(s)
  小塚詩穂里, 中村友彦, 猿渡洋
- Organizer
  日本音響学会 2020年春季研究発表会
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Investigation on Wavelet Basis Function of DNN-based Time Domain Audio Source Separation Inspired by Multiresolution Analysis2020
- Author(s)
  Shihori Kozuka, Tomohiko Nakamura and Hiroshi Saruwatari
- Organizer
  The 49th International Congress and Exposition on Noise Control Engineering (INTERNOISE2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Investigation on Wavelet Basis Function of DNN-based Time Domain Audio Source Separation Inspired by Multiresolution Analysis2020
- Author(s)
  Shihori Kozuka, Tomohiko Nakamura, Hiroshi Saruwatari
- Organizer
  49th International Congress and Exposition on Noise Control Engineering
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19818
[Presentation] Time-domain Audio Source Separation based on Wave-U-Net Combined with Discrete Wavelet Transform2020
- Author(s)
  Tomohiko Nakamura and Hiroshi Saruwatari
- Organizer
  The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H01116
[Presentation] Haar 変換を導入した時間領域深層ニューラルネットに基づく音源分離2019
- Author(s)
  中村友彦, 猿渡洋
- Organizer
  電子情報通信学会技術研究報告
- Data Source
  KAKENHI-PROJECT-19H01116

1. 高道慎之介 (90784330)

# of Collaborated Projects: 3 results

# of Collaborated Products: 4 results
2. Saruwatari Hiroshi (30324974)

# of Collaborated Projects: 2 results

# of Collaborated Products: 27 results
3. 小山翔一 (80734459)

# of Collaborated Projects: 2 results

# of Collaborated Products: 6 results
4. 北村大地 (40804745)

# of Collaborated Projects: 1 results

# of Collaborated Products: 16 results
5. 牧野昭二 (60396190)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
6. 植野夏樹 (00939788)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 矢田部浩平 (20801278)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
8. 深山覚 (90712191)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
9. 齋藤大輔 (40615150)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Nakamura Tomohiko 中村 友彦

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人間の介入可能性を考慮した音響情景分析のための深層分析合成基盤の開拓とその深化Principal Investigator

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Singing voice synthesis that can form ensemble with humans and computers

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Data-driven sound field measurement for high-resolution spatial audio analysis and its applications

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Research on acoustic scene analysis by integrating time-domain deep leraning and multiresolution analysisPrincipal Investigator

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Acoustic Augmented Reality and Auditory Communication Ability Expansion Based on Small-Data Machine Learning Theory

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[Journal Article] SelfRemaster: Self-Supervised Speech Restoration for Historical Audio Resources2023

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[Journal Article] Sampling-Frequency-Independent Convolutional Layer and its Application to Audio Source Separation2022

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[Journal Article] Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds2021

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[Journal Article] Time-Domain Audio Source Separation With Neural Networks Based on Multiresolution Analysis2021

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[Presentation] 歌唱者間相互作用を再現するDNN重唱歌声合成の検討2024

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[Presentation] コンプレッサー処理された信号の復元に関する検討2024

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[Presentation] Universal Sound Separationへのサンプリング周波数非依存畳み込み層の適用2023

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[Presentation] サンプリング周波数非依存畳み込み層における非整数ストライド処理アルゴリズム2023

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[Presentation] jaCappella corpus: A Japanese a cappella vocal ensemble corpus2023

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[Presentation] 歌唱者間相互作用を再現するDNN重唱歌声合成の検討2023

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[Presentation] How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics2023

Author(s)

Nakamura Tomohiko 中村友彦

[Presentation] スプライン補間に基づく音場表現を用いたPhysics-Informed Neural Networksによる音場推定－散乱体を含む領域に関する検証－2022