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| Presentation | 2013-11-21 14:30 Evaluation of Excitation Feature Prediction in a Hybrid Approach to Electrolaryngeal Speech Enhancement Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST)  SP2013-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We implement removing micro-prosody with low-pass filtering and avoiding Unvoiced/Voiced (U/V) prediction as part of a hybrid approach to improve statistical excitation prediction in the hybrid approach to electrolaryngeal (EL) speech enhancement. An electrolarynx is a device that artificially generates excitation sounds to enable laryngectomees to produce EL speech. Although proficient laryngectomees can produce quite intelligible EL speech, it sounds very unnatural due to the mechanical excitation produced by the device. Moreover, the excitation sounds produced by the device often leak outside, adding noise to EL speech. To address these issues, in our previous work, we proposed a hybrid method using the noise reduction method for enhancing spectral parameters and voice conversion method for predicting excitation parameters. In this paper, we evaluate the effect of removing micro-prosody with low-pass filtering and avoiding U/V prediction in the hybrid enhancement process. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | speaking-aid / electrolaryngeal speech / hybrid approach / statistical excitation prediction / unvoiced/voiced information / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 308, SP2013-72, pp. 7-12, Nov. 2013. | |
| Paper # | SP2013-72 | |
| Date of Issue | 2013-11-14 (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 | SP2013-72 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2013-11-21 - 2013-11-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nara Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2013-11-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Excitation Feature Prediction in a Hybrid Approach to Electrolaryngeal Speech Enhancement |
| Sub Title (in English) | |
| Keyword(1) | speaking-aid |
| Keyword(2) | electrolaryngeal speech |
| Keyword(3) | hybrid approach |
| Keyword(4) | statistical excitation prediction |
| Keyword(5) | unvoiced/voiced information |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kou Tanaka |
| 1st Author's Affiliation | Nara Institute of Tcience and Technology (NAIST) |
| 2nd Author's Name | Tomoki Toda |
| 2nd Author's Affiliation | Nara Institute of Tcience and Technology (NAIST) |
| 3rd Author's Name | Graham Neubig |
| 3rd Author's Affiliation | Nara Institute of Tcience and Technology (NAIST) |
| 4th Author's Name | Sakriani Sakti |
| 4th Author's Affiliation | Nara Institute of Tcience and Technology (NAIST) |
| 5th Author's Name | Satoshi Nakamura |
| 5th Author's Affiliation | Nara Institute of Tcience and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2013-11-21 14:30:00 |
| Presentation Time | 30 minutes |
| Registration for | SP |
| Paper # | SP2013-72 |
| Volume (vol) | vol.113 |
| Number (no) | no.308 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2013-11-14 (SP) |
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