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| Presentation | 2022-08-26 14:08 Study on Bone-conducted Speech Enhancement Using Vector-quantized Variational Autoencoder and Gammachirp Filterbank Cepstral Coefficients Quoc-Huy Nguyen, Masashi Unoki (JAIST)  SIP2022-71 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Bone-conducted (BC) speech potentially avoids the undesired effects on recorded speech due to background noise or reverberation; however, BC speech has lower quality and intelligibility than air-conducted (AC) speech. Since a large-scale BC speech database is hard to obtain (low-resource), current BC speech enhancement methods hardly improve the speech of speakers outside the training dataset. We proposed a method for enhancing BC speech from speakers outside of the training dataset in such a low-resource scenario. The proposed method contained a feature conversion model based on a vector-quantized variational autoencoder incorporating the gammachirp filterbank cepstral coefficients. The proposed method exploited the large-scale clean AC speech database to improve the quality of the BC speech. We conducted three evaluations to determine the effectiveness of the proposed method: perceptual evaluation of speech quality, short-time objective intelligibility, and the syllable error rate of the automatic speech recognition system. The results indicated that the proposed method could improve the sound quality and intelligibility of the BC speech from speakers outside of the training dataset. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | bone-conducted speech / speech enhancement / gammachirp filterbank cepstral coefficients / vector-quantized variational autoencoder / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 165, SIP2022-71, pp. 109-114, Aug. 2022. | |
| Paper # | SIP2022-71 | |
| Date of Issue | 2022-08-18 (SIP) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SIP2022-71 |
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| Conference Information | |
| Committee | SIP |
| Conference Date | 2022-08-25 - 2022-08-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nobumoto Ohama Memorial Hall (Ishigaki Island) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Signal processing, etc. |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2022-08-SIP |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on Bone-conducted Speech Enhancement Using Vector-quantized Variational Autoencoder and Gammachirp Filterbank Cepstral Coefficients |
| Sub Title (in English) | |
| Keyword(1) | bone-conducted speech |
| Keyword(2) | speech enhancement |
| Keyword(3) | gammachirp filterbank cepstral coefficients |
| Keyword(4) | vector-quantized variational autoencoder |
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| Keyword(6) | |
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| 1st Author's Name | Quoc-Huy Nguyen |
| 1st Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
| 2nd Author's Name | Masashi Unoki |
| 2nd Author's Affiliation | Japan Advanced Institute of Science and Technology (JAIST) |
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| Speaker | Author-1 |
| Date Time | 2022-08-26 14:08:00 |
| Presentation Time | 18 minutes |
| Registration for | SIP |
| Paper # | SIP2022-71 |
| Volume (vol) | vol.122 |
| Number (no) | no.165 |
| Page | pp.109-114 |
| #Pages | 6 |
| Date of Issue | 2022-08-18 (SIP) |
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