| Presentation | 2022-06-17 Blind Source Separation based on Independent Low-Rank Matrix Analysis using Restricted Boltzmann Machines Shotaro Furuta, Takuya Kishida, Toru Nakashika, |
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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 blind source separation method that combines independent low-rank source separation (ILRMA), one of the blind source separation methods, and restricted Boltzmann machine (RBM), a generative model. In recent years, many models using blind source separation have been proposed. In particular, ILRMA, which combines independent vector analysis (IVA) and non-negative matrix factorization (NMF), is one of the best methods in terms of separation accuracy and computational cost. A previous study showed that RBM has higher separation accuracy than NMF. Therefore, in order to further improve the separation accuracy, we propose a new blind source separation method that combines RBM and IVA, which can be substituted for NMF, and compares its performance with that of conventional methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | blind source separation / independent low-rank matrix analysis / nonnegative matrix factorization / restricted Boltzmann machine |
| Paper # | SP2022-8 |
| Date of Issue | 2022-06-10 (SP) |
| Conference Information | |
| Committee | SP / IPSJ-MUS / IPSJ-SLP |
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| Conference Date | 2022/6/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomoki Toda(Nagoya Univ.) |
| Vice Chair | |
| Secretary | (NTT) / (Univ. of Electro-Comm.) |
| Assistant | Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Special Interest Group on Music and Computer / Special Interest Group on Spoken Language Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Blind Source Separation based on Independent Low-Rank Matrix Analysis using Restricted Boltzmann Machines |
| Sub Title (in English) | |
| Keyword(1) | blind source separation |
| Keyword(2) | independent low-rank matrix analysis |
| Keyword(3) | nonnegative matrix factorization |
| Keyword(4) | |
| Keyword(5) | restricted Boltzmann machine |
| 1st Author's Name | Shotaro Furuta |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Takuya Kishida |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Toru Nakashika |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2022-06-17 |
| Paper # | SP2022-8 |
| Volume (vol) | vol.122 |
| Number (no) | SP-81 |
| Page | pp.pp.26-29(SP), |
| #Pages | 4 |
| Date of Issue | 2022-06-10 (SP) |