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| Presentation | 2018-03-20 09:00 [Poster Presentation] A Hybrid Approach on Electrolaryngeal Speech Enhancement based on Spectral Differential Features and Noise Suppression Mohammad Eshghi, Kazuhiro Kobayashi, Tomoki Toda (Nagoya Univ.)  EA2017-141 SIP2017-150 SP2017-124 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This work presents a hybrid approach for enhancing the quality of the electrolaryngeal (EL) speech. Current hybrid enhancement systems rely on noise suppression and statistical voice conversion techniques. However, utilizing a vocoder to generate the converted waveform usually degrades the quality of the converted speech. To alleviate the quality degradation caused by the vocoder, we proposed a vocoder-free enhancement method based on direct modification of the waveform using differences in spectral features of the EL and normal speeches. After applying a time-variant filter to the EL speech for enhancing its quality, noise suppression is further applied to the enhanced EL speech to reduce remaining time-varying noise components. To evaluate the effectiveness of our proposed method, subjective evaluations based on an opinion test on intelligibility has been performed. Our experimental results show that the proposed method improves intelligibility of the EL speech. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Electrolaryngeal speech enhancement / spectral subtraction / statistical voice conversion / differential spectral features / time-variant filtering / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 517, SP2017-124, pp. 221-226, March 2018. | |
| Paper # | SP2017-124 | |
| Date of Issue | 2018-03-12 (EA, SIP, SP) | |
| ISSN | Print edition: ISSN 0913-5685 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 | EA2017-141 SIP2017-150 SP2017-124 |
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| Conference Information | |
| Committee | SIP EA SP MI |
| Conference Date | 2018-03-19 - 2018-03-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2018-03-SIP-EA-SP-MI |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Hybrid Approach on Electrolaryngeal Speech Enhancement based on Spectral Differential Features and Noise Suppression |
| Sub Title (in English) | |
| Keyword(1) | Electrolaryngeal speech enhancement |
| Keyword(2) | spectral subtraction |
| Keyword(3) | statistical voice conversion |
| Keyword(4) | differential spectral features |
| Keyword(5) | time-variant filtering |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Mohammad Eshghi |
| 1st Author's Affiliation | Nagoya University, Graduate School of Information Science (Nagoya Univ.) |
| 2nd Author's Name | Kazuhiro Kobayashi |
| 2nd Author's Affiliation | Information Technology Center (Nagoya Univ.) |
| 3rd Author's Name | Tomoki Toda |
| 3rd Author's Affiliation | Information Technology Center (Nagoya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-20 09:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | EA2017-141, SIP2017-150, SP2017-124 |
| Volume (vol) | vol.117 |
| Number (no) | no.515(EA), no.516(SIP), no.517(SP) |
| Page | pp.221-226 |
| #Pages | 6 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
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