| Paper Abstract and Keywords |
| Presentation |
2021-06-19 09:30
[Invited Talk]
Toward a Unification of Various Speech Processing Tasks Based on End-to-End Neural networks Shinji Watanabe (CMU) SP2021-8 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This presentation will introduce the recent progress of speech processing technologies based on end-to-end neural networks. End-to-End neural networks have been actively studied in various speech processing tasks, including speech recognition, speech synthesis, speech translation, and speech enhancement. This presentation first introduces such activities and trends and focuses on a potential unified scheme of such tasks based on sequence-to-sequence neural networks. This unified scheme provides various benefits, including software design for dealing with various speech processing tasks with unified interfaces and the acceleration of technical interactions across the task. We also introduce our open-source speech processing toolkit called ESPnet (https://github.com/espnet/espnet), which fully utilizes the benefits of the unified scheme. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Speech Recognition / Speech Synthesis / Speech Translation / Speech Enhancement / End-to-End Neural Network / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 66, SP2021-8, pp. 38-38, June 2021. |
| Paper # |
SP2021-8 |
| Date of Issue |
2021-06-11 (SP) |
| 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 |
SP2021-8 |
| Conference Information |
| Committee |
SP IPSJ-SLP IPSJ-MUS |
| Conference Date |
2021-06-18 - 2021-06-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
OTOGAKU Symposium 2021 |
| Paper Information |
| Registration To |
SP |
| Conference Code |
2021-06-SP-SLP-MUS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Toward a Unification of Various Speech Processing Tasks Based on End-to-End Neural networks |
| Sub Title (in English) |
|
| Keyword(1) |
Speech Recognition |
| Keyword(2) |
Speech Synthesis |
| Keyword(3) |
Speech Translation |
| Keyword(4) |
Speech Enhancement |
| Keyword(5) |
End-to-End Neural Network |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Shinji Watanabe |
| 1st Author's Affiliation |
Carnegie Mellon University (CMU) |
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| Speaker |
Author-1 |
| Date Time |
2021-06-19 09:30:00 |
| Presentation Time |
70 minutes |
| Registration for |
SP |
| Paper # |
SP2021-8 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.66 |
| Page |
p.38 |
| #Pages |
1 |
| Date of Issue |
2021-06-11 (SP) |