| Presentation | 2023-03-01 Anomalous sound detection with complex-valued hybrid neural networks considering phase variations Shota Nishiyama, Akira Tamamori, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Anomalous sound detection is the task of identifying whether an incoming mechanical sound is normal or anomalous. Since anomalous sounds occur infrequently and are highly diverse, it is treated as a problem of detecting anomalous sounds from normal sounds only. The acoustic features used as input to most anomalous sound detection models are mel-spectrogram. However, the phase variation is lost when the complex-spectrogram obtained by Fourier transforming the sound waveform is converted to the mel-spectrogram. In this study, we compare anomalous sound detection methods using complex-valued neural networks and real-valued neural networks to demonstrate the usefulness of phase variation. As a result of the comparison, there existed machine sounds for which phase variation was valuable and machine sounds for which it was not valuable. In this study, we propose a complex-valued hybrid neural network that combines a complex-valued module that preserves the structure of complex values and a real-valued module that takes mel-spectrogram as input for all feature extraction operations in which complex-spectrogram can be input in order to take phase variation into account. We propose a complex-valued hybrid neural network that combines a complex-valued structure-preserving module and a real-valued module that takes the mel-spectrogram as input for all feature extraction operations. Experiments verified the effectiveness of the proposed method on anomalous sound detection for multi-channel sound in the ToyADMOS dataset. Experimental results showed that the proposed method improved the average AUC of all machine sounds by around 3% compared to both complex-valued and real-valued neural networks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anomalous sound detection / complex-valued neural networks / phase variations |
| Paper # | EA2022-106,SIP2022-150,SP2022-70 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |
| Conference Information | |
| Committee | SP / IPSJ-SLP / EA / SIP |
|---|---|
| Conference Date | 2023/2/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomoki Toda(Nagoya Univ.) / Tomoki Toda(Nagoya Univ.) / Kenichi Furuya(Oita Univ.) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) |
| Vice Chair | / / Tatsuya Kako(NTT) / Junki Ono(Tokyo Metropolitan Univ.) / Koichi Ichige(Yokohama National Univ.) / Takayuki Nakachi(Ryukyu Univ.) |
| Secretary | (NTT) / (Univ. of Electro-Comm.) / Tatsuya Kako(NTT) / Junki Ono(Univ. of Electro-Comm.) / Koichi Ichige(NTT) / Takayuki Nakachi(RitsumeikanUniv.) |
| Assistant | Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) / Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) / Masato Nakayama(Osaka Sangyo Univ.) / Kouhei Yatabe(Tuat) / Taichi Yoshida(UEC) / Shoko Imaizumi(Chiba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Special Interest Group on Spoken Language Processing / Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Anomalous sound detection with complex-valued hybrid neural networks considering phase variations |
| Sub Title (in English) | |
| Keyword(1) | Anomalous sound detection |
| Keyword(2) | complex-valued neural networks |
| Keyword(3) | phase variations |
| 1st Author's Name | Shota Nishiyama |
| 1st Author's Affiliation | Aichi Institute of Technology(AIT) |
| 2nd Author's Name | Akira Tamamori |
| 2nd Author's Affiliation | Aichi Institute of Technology(AIT) |
| Date | 2023-03-01 |
| Paper # | EA2022-106,SIP2022-150,SP2022-70 |
| Volume (vol) | vol.122 |
| Number (no) | EA-387,SIP-388,SP-389 |
| Page | pp.pp.185-190(EA), pp.185-190(SIP), pp.185-190(SP), |
| #Pages | 6 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |