Publications

カンファレンス (国内)
ヘビーテイル生成モデルに基づく独立低ランク行列分析における iterative source steering を用いた分離行列の更新: 蓮実拓也, シャイブラーロビン; 日本音響学会 2023年春季研究発表会 (ASJ 2023 spring); 2023.3.15

カンファレンス (国内)
中間層予測を用いたEnd-to-end ダイアライゼーション: 藤田雄介, 小松達也, Scheibler Robin, 木田祐介, 小川哲司 (早稲田大学); 日本音響学会 2023年春季研究発表会 (ASJ 2023 spring); 2023.3.15

カンファレンス (国内)
ストリーミング End-to-End 音声認識のための RNN Transducer の最小遅延学習: 篠原雄介, 渡部晋治 (Carnegie Mellon University); 日本音響学会2023年春季研究発表会; 2023.3.15

その他 (国内)
日本語音声認識における語彙集合分割とマルチタスク学習による目的語彙抽出: 伊藤葵 (LINE/法政大学), 小松達也, 藤田雄介; 電子情報通信学会/日本音響学会音声研究会 (SP研究会); 2023.2.28

カンファレンス (国際)
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR: Yusuke Fujita, Tatsuya Komatsu, Yusuke Kida; The 2022 IEEE Spoken Language Technology Workshop (SLT 2022); 2023.1.9

カンファレンス (国際)
End-to-End Multi-speaker ASR with Independent Vector Analysis: Robin Scheibler, Wangyou Zhang (Shanghai Jiao Tong University), Xuankai Chang (Carnegie Mellon University), Shinji Watanabe (Carnegie Mellon University), Yanmin Qian (Shanghai Jiao Tong University); The 2022 IEEE Spoken Language Technology Workshop (SLT 2022); 2023.1.9

カンファレンス (国際)
Inter-Decoder: Using Attention-Decoder losses as Intermediate Regularization for CTC-based Speech Recognition: Tatsuya Komatsu, Yusuke Fujita; The 2022 IEEE Spoken Language Technology Workshop (SLT 2022); 2023.1.9

カンファレンス (国際)
Adaptive Noise Canceller Algorithm with an SNR-Based Stepsize and Controlled Averaging: Akihiko Sugiyama; IEEE International Conference on Consumer Electronics (ICCE); 2023.1.6

その他 (国内)
Raw or cooked? That is the Question in Adaptive Noise Cancelling: Akihiko Sugiyama; 電子情報通信学会第37回信号処理シンポジウム (SIPシンポジウム); 2022.12.13

その他 (国際)
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation: Motoi Omachi, Brian Yan (Carnegie Mellon University), Siddharth Dalmia (Carnegie Mellon University), Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); arXiv.org (arXiv); 2022.11.14

カンファレンス (国際)
How Information on Acoustic Scenes and Sound Events Mutually Benefits Event Detection and Scene Classification Tasks.: Ami Igarashi (Doshisha University), Keisuke Imoto (Doshisha University), Yuka Komatsu (Doshisha University), Shunsuke Tsubaki (Doshisha University), Shuto Hario (Doshisha University), Tatsuya Komatsu; Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2022 (APSIPA ASC 2022); 2022.11.7

カンファレンス (国際)
On Sorting and Padding Multiple Targets for Sound Event Localization and Detection with Permutation Invariant and Location-based Training: Robin Scheibler, Tatsuya Komatsu, Yusuke Fujita, Michael Hentschel; Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2022 (APSIPA ASC 2022); 2022.11.7

ワークショップ (国際)
Sound Event Localization and Detection with pre-trained Audio Spectrogram Transformer and Multichannel Separation Network: Robin Scheibler, Tatsuya Komatsu, Yusuke Fujita, Michael Hentschel; Detection and Classification of Acoustic Scenes and Events (DCASE 2022); 2022.11.3

カンファレンス (国際)
Attention Weight Smoothing Using Prior Distributions for Transformer-Based End-to-End ASR: Takashi Maekaku, Yuya Fujita, Yifan Peng (Carnegie Mellon University), Shinji Watanabe (Carnegie Mellon University); The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.19

カンファレンス (国際)
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation: Xuankai Chang (Carnegie Mellon University), Takashi Maekaku, Yuya Fujita, Shinji Watanabe (Carnegie Mellon University); The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.19

カンファレンス (国際)
A Unified Accent Estimation Method Based on Multi-Task Learning for Japanese Text-to-Speech: Byeongseon Park, Ryuichi Yamamoto, Kentaro Tachibana; The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.18

カンファレンス (国際)
Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History: Yuto Nishimura (The University of Tokyo), Yuki Saito (The University of Tokyo), Shinnosuke Takamichi (The University of Tokyo), Kentaro Tachibana, Hiroshi Saruwatari (The University of Tokyo); The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.18

カンファレンス (国際)
Better Intermediates Improve CTC Inference: Tatsuya Komatsu, Yusuke Fujita, Jaesong Lee (NAVER), Lukas Lee (NAVER), Shinji Watanabe (Carnegie Mellon University), Yusuke Kida; The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.18

カンファレンス (国際)
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation: Ryo Terashima, Ryuichi Yamamoto, Eunwoo Song (NAVER), Yuma Shirahata, Hyun-Wook Yoon (NAVER), Jae-Min Kim (NAVER), Kentaro Tachibana; The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.18

カンファレンス (国際)
DRSpeech: Degradation-Robust Text-to-Speech Synthesis with Frame-Level and Utterance-Level Acoustic Representation Learning: Takaaki Saeki (The University of Tokyo), Kentaro Tachibana, Ryuichi Yamamoto; The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022); 2022.9.18