| Paper Abstract and Keywords |
| Presentation |
2022-12-01 14:50
A Japanese Automatic Speech Recognition System on the Next-Gen Kaldi Framework Wen Shen Teo, Yasuhiro Minami (UEC) NLC2022-16 SP2022-36 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
2021 saw the introduction of the cutting-edge successor to the Kaldi speech processing toolkit, known as Next-Gen Kaldi.
Leveraging on the Next-Gen Kaldi family of modules in this work, we built a streaming RNN-Transducer Japanese ASR system, trained on the Corpus of Spontaneous Japanese (CSJ).
Our E2E model shows a definitive Character Error Rate (CER) improvement over that of Kaldi, but still fall short when compared to state-of-the-art benchmarks from other frameworks enhanced by external language models trained on huge language data.
In this paper, we first explain our experiment setups and present our results. Then, in the pursuit of an end-to-end ASR system, we raise several points of discussion where the performance of our ASR model suffered. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Next-Gen Kaldi / Corpus of Spontaneous Japanese / RNN-Transducer / Automatic Speech Recognition / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 288, SP2022-36, pp. 39-44, Nov. 2022. |
| Paper # |
SP2022-36 |
| Date of Issue |
2022-11-22 (NLC, 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 |
NLC2022-16 SP2022-36 |
| Conference Information |
| Committee |
NLC IPSJ-NL SP IPSJ-SLP |
| Conference Date |
2022-11-29 - 2022-12-01 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SP |
| Conference Code |
2022-11-NLC-NL-SP-SLP |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Japanese Automatic Speech Recognition System on the Next-Gen Kaldi Framework |
| Sub Title (in English) |
|
| Keyword(1) |
Next-Gen Kaldi |
| Keyword(2) |
Corpus of Spontaneous Japanese |
| Keyword(3) |
RNN-Transducer |
| Keyword(4) |
Automatic Speech Recognition |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Wen Shen Teo |
| 1st Author's Affiliation |
The University of Electro-Communications (UEC) |
| 2nd Author's Name |
Yasuhiro Minami |
| 2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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| Speaker |
Author-1 |
| Date Time |
2022-12-01 14:50:00 |
| Presentation Time |
30 minutes |
| Registration for |
SP |
| Paper # |
NLC2022-16, SP2022-36 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.287(NLC), no.288(SP) |
| Page |
pp.39-44 |
| #Pages |
6 |
| Date of Issue |
2022-11-22 (NLC, SP) |