音源分離・定位

2023/12

Kohei Saijo, Wangyou Zhang, Zhong-Qiu Wang, Shinji Watanabe, Tetsunori Kobayashi, Tetsuji Ogawa, “A single speech enhancement model unifying dereverberation, denoising, speaker counting, separation, and extraction,” Proc. 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU2023), pp.XXX-XXX, Dec. 2023.

2023/09

西城耕平，小川哲司，“音源の分離と再混合による事前学習を必要としないモノラル教師なし音源分離，” 日本音響学会研究発表会講演論文集，Sept. 2023．

2023/08

Kohei Saijo, Tetsuji Ogawa, “Remixing-based unsupervised source separation from scratch,” Proc. The 24th Annual Conference of the International Speech Communication Association (INTERSPEECH2023), pp.1678-1682, Aug. 2023. [DOI] [Scopus]

2023/06

Kohei Saijo, Tetsuji Ogawa, “Self-Remixing: Unsupervised speech separation via separation and remixing,” Proc. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023), June 2023. [DOI]

2023/03

西城耕平，小川哲司，“Self-Remixing: 音源の分離と再混合による教師なし音源分離，” 日本音響学会研究発表会講演論文集，pp.161-164，March 2023.

2022/11

Riku Ogino, Kohei Saijo, Tetsuji Ogawa, “Design of discriminators in GAN-based unsupervised learning of neural post-processors for suppressing localized spectral distortion,”  Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2022 (APSIPA2022), pp.969-975, Nov. 2022. [DOI]

2022/09

Kohei Saijo, Tetsuji Ogawa, “Unsupervised training of sequential neural beamformer using coarsely-separated and non-separated signals,” Proc. The 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH2022), Sept. 2022. [DOI] [Scopus]

2022/09

西城耕平，小川哲司，“ブラインド音源分離を教師としたTeacher-Student学習とUnmix-Remix無矛盾学習によるSequential Neural Beamformerの教師なし学習，” 日本音響学会研究発表会講演論文集，pp.359-362，Sept. 2022.

2022/09

荻野里久，西城耕平，小川哲司，“CycleGANを用いた教師無し音声処理歪み補正，” 日本音響学会研究発表会講演論文集，pp.371-374，Sept. 2022.

2022/06

西城耕平，小川哲司，“ブラインド音源分離の分離音と観測信号を教師信号として用いたSequential Neural Beamformerの教師なし学習，” 電子情報通信学会技術研究報告 (SP)，vol.122，no.81，SP2022-25，pp.110-115，June 2022．[研究奨励賞]

2022/06

荻野里久，西城耕平，藤枝大，小川哲司，“局所的な真偽判定を用いた敵対的学習に基づく教師なし音声処理歪み補正，” 電子情報通信学会技術研究報告 (SP)，vol.122，no.81，SP2022-13，pp.49-54，June 2022．

2022/05

Kohei Saijo, Tetsuji Ogawa, “Remix-cycle-consistent learning on adversarially learned separator for accurate and stable unsupervised speech separation,”  Proc. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2022), pp.4373-4377, May 2022.  [DOI] [Scopus]

2021/12

Kohei Saijo, Kazuhiro Katagiri, Masaru Fujieda, Tetsunori Kobayashi, Tetsuji Ogawa, “Comparative study on DNN-based minimum variance beamforming robust to small movements of sound sources,” Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA2021), pp.603-607, Dec. 2021. [URL] [Scopus]

2019/09

Naohiro Tawara, Tetsunori Kobayashi, Tetsuji Ogawa, “Multi-channel speech enhancement using time-domain convolutional denoising autoencoder,” Proc. The 20th Annual Conference of the International Speech Communication Association (INTERSPEECH2019), pp.86-90, Sept. 2019. [DOI] [Scopus]

2017/03

Motoi Omachi, Tetsuji Ogawa, Tetsunori Kobayashi, “Associative memory model-based linear filtering and its application to tandem connectionist blind source separation,” IEEE Trans. ASLP., vol.25, no.3, pp. 637-650, Mar. 2017. doi: 10.1109/TASLP.2017.2653941

2015/09

Motoi Omachi, Tetsuji Ogawa, Tetsunori Kobayashi, Masaru Fujieda and Kazuhiro Katagiri, Blind source separation using associative memory model and linear separation filter. Proc. The 2015 European Signal Processing Conference (EUSIPCO 2015):pp.1103-1107, September 2015

2015/09

大町基,小川哲司,小林哲則,藤枝大,片桐一浩, 連想記憶に基づくブラインド音源分離のエコーキャンセリングへの応用. 日本音響学会 2015年春季研究発表会講演論文集, (3-6-14):pp.593-596, September 2015

2015/05

大町基，小川哲司，小林哲則，藤枝大，片桐一浩, 連想記憶を用いた線形分離行列推定法に関する検討. 情報処理学会研究報告, Vol.2015-MUS-107(No.32):pp.1-6, May 2015