| Presentation | 2021-08-24 [Invited Talk] Audio source separation based on independent low-rank matrix analysis and its extensions Daichi Kitamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In particular, blind source separation (BSS) does not require any information about locations of audio sources and microphones Because of its importance, BSS has been investigated for more than 20 years. In this talk, one of the new BSS algorithms called independent low-rank matrix analysis (ILRMA) is explained. Also, some recent extensions of ILRMA are introduced. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Blind source separation / independent component analysis / nonnegative matrix factorization / deep learning / spectrogram consistency |
| Paper # | SIP2021-32 |
| Date of Issue | 2021-08-16 (SIP) |
| Conference Information | |
| Committee | SIP |
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| Conference Date | 2021/8/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yukihiro Bandou(NTT) |
| Vice Chair | Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) |
| Secretary | Toshihisa Tanaka(Xiaomi) / Takayuki Nakachi(Takushoku Univ.) |
| Assistant | Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] Audio source separation based on independent low-rank matrix analysis and its extensions |
| Sub Title (in English) | |
| Keyword(1) | Blind source separation |
| Keyword(2) | independent component analysis |
| Keyword(3) | nonnegative matrix factorization |
| Keyword(4) | deep learning |
| Keyword(5) | spectrogram consistency |
| 1st Author's Name | Daichi Kitamura |
| 1st Author's Affiliation | National Institute of Technology, Kagawa College(NIT Kagawa) |
| Date | 2021-08-24 |
| Paper # | SIP2021-32 |
| Volume (vol) | vol.121 |
| Number (no) | SIP-144 |
| Page | pp.pp.19-24(SIP), |
| #Pages | 6 |
| Date of Issue | 2021-08-16 (SIP) |