| Presentation | 2018-03-19 Experimental Evaluation of Multichannel Audio Source Separation Based on IDLMA Daichi Kitamura, Hayato Sumino, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a new informed multichannel audio source separation called independent deeply learned matrix analysis (IDLMA). IDLMA is a unified algorithm of conventional blind source separation, independent low-rank matrix analysis, and a supervised learning method based on deep neural networks (DNN) and can be interpreted as a natural informed extension of the independence-based source separation theory. Although a source model is estimated by pre-trained sourcewise DNN, a spatial model can blindly be estimated by statistical independence between sources. The experiment using music signals shows the efficacy of IDLMA compared with the conventional DNN-based techniques. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | multichannel audio source separation / independent component analysis / deep neural networks |
| Paper # | EA2017-104,SIP2017-113,SP2017-87 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
| Conference Information | |
| Committee | SIP / EA / SP / MI |
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| Conference Date | 2018/3/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
| Chair | Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.) |
| Assistant | Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Experimental Evaluation of Multichannel Audio Source Separation Based on IDLMA |
| Sub Title (in English) | |
| Keyword(1) | multichannel audio source separation |
| Keyword(2) | independent component analysis |
| Keyword(3) | deep neural networks |
| 1st Author's Name | Daichi Kitamura |
| 1st Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Hayato Sumino |
| 2nd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 3rd Author's Name | Norihiro Takamune |
| 3rd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 4th Author's Name | Shinnosuke Takamichi |
| 4th Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 5th Author's Name | Hiroshi Saruwatari |
| 5th Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 6th Author's Name | Nobutaka Ono |
| 6th Author's Affiliation | Tokyo Metropolitan University(Tokyo Metropolitan Univ.) |
| Date | 2018-03-19 |
| Paper # | EA2017-104,SIP2017-113,SP2017-87 |
| Volume (vol) | vol.117 |
| Number (no) | EA-515,SIP-516,SP-517 |
| Page | pp.pp.13-20(EA), pp.13-20(SIP), pp.13-20(SP), |
| #Pages | 8 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |