| Presentation | 2020-12-14 Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech Akira Ikuta, Hisako Orimoto, Kouji Hasegawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When applying speech recognition systems to actual circumstances such as inspection and maintenance operations in industrial factories to recording and reporting routines at construction sites, etc. where hand-writing is difficult, some countermeasure methods for surrounding noise are indispensable. In this study, a signal detection method to remove the noise for actual speech signal is proposed by using Bayesian estimation with the aid of bone-conducted speech. More specifically, by introducing Bayes’ theorem based on the observation of air-conducted speech contaminated by surrounding background noise, a new type of algorithm for noise removal is theoretically derived. The effectiveness of the proposed method is experimentally confirmed by applying it to air- and bone-conducted speeches measured in real environments under the existence of surrounding background noises. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Speech Signal Detection / Bayesian Estimation / Air-conducted Speech / Bone-conducted Speech / Surrounding Noise |
| Paper # | EA2020-48 |
| Date of Issue | 2020-12-07 (EA) |
| Conference Information | |
| Committee | EA |
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| Conference Date | 2020/12/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, and Related Topics |
| Chair | Kenichi Furuya(Oita Univ.) |
| Vice Chair | Yoshinobu Kajikawa(Kansai Univ.) / Kentaro Matsui(NHK) |
| Secretary | Yoshinobu Kajikawa(Univ. of Tokyo) / Kentaro Matsui(NTT) |
| Assistant | Yukou Wakabayashi(Tokyo Metropolitan Univ.) / Tatsuya Komatsu(LINE) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existence of Surrounding Noise with Aid of Bone-Conducted Speech |
| Sub Title (in English) | |
| Keyword(1) | Speech Signal Detection |
| Keyword(2) | Bayesian Estimation |
| Keyword(3) | Air-conducted Speech |
| Keyword(4) | Bone-conducted Speech |
| Keyword(5) | Surrounding Noise |
| 1st Author's Name | Akira Ikuta |
| 1st Author's Affiliation | Prefectural University of Hiroshima(Prefectural Univ. of Hiroshima) |
| 2nd Author's Name | Hisako Orimoto |
| 2nd Author's Affiliation | Prefectural University of Hiroshima(Prefectural Univ. of Hiroshima) |
| 3rd Author's Name | Kouji Hasegawa |
| 3rd Author's Affiliation | Hiroshima Prefectural Technology Research Institute(Hiroshima Prefectural Technology Research Inst.) |
| Date | 2020-12-14 |
| Paper # | EA2020-48 |
| Volume (vol) | vol.120 |
| Number (no) | EA-296 |
| Page | pp.pp.13-18(EA), |
| #Pages | 6 |
| Date of Issue | 2020-12-07 (EA) |