| Paper Abstract and Keywords |
| Presentation |
2024-06-14 13:50
Beyond Word Count: Exploring Approximated Target Lengths for CIF-RNNT Wen Shen Teo, Yasuhiro Minami (UEC) SP2024-5 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Our previous work proposed the CIF-RNNT architecture, a combination of Continuous Integrate-and-Fire (CIF) and RNN-Transducers (RNN-T) that compresses speech into units equivalent to linguistic words to achieve efficient decoding. This work extends on that research by investigating the impact of different target length definitions, approximated from self-information and token count. Our results on LibriSpeech and CSJ show that approximated target length types based on self-information outperform simpler approaches, and CIF-RNNT models even surpass topline models on the CSJ dataset at smaller chunk sizes. Furthermore, our comparisons demonstrate an inherent ability of CIF-RNNT to produce output tokens in groups of words, regardless of the target length type. These results showcase the potential of the CIF-RNNT architecture for efficient and accurate speech recognition. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CIF-RNNT / self-information / decoding speed / word segmentation / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 80, SP2024-5, pp. 23-27, June 2024. |
| Paper # |
SP2024-5 |
| Date of Issue |
2024-06-07 (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 |
SP2024-5 |
| Conference Information |
| Committee |
SP IPSJ-MUS IPSJ-SLP |
| Conference Date |
2024-06-14 - 2024-06-15 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
SP |
| Conference Code |
2024-06-SP-MUS-SLP |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Beyond Word Count: Exploring Approximated Target Lengths for CIF-RNNT |
| Sub Title (in English) |
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| Keyword(1) |
CIF-RNNT |
| Keyword(2) |
self-information |
| Keyword(3) |
decoding speed |
| Keyword(4) |
word segmentation |
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| 1st Author's Name |
Wen Shen Teo |
| 1st Author's Affiliation |
University of Electro-Communications (UEC) |
| 2nd Author's Name |
Yasuhiro Minami |
| 2nd Author's Affiliation |
University of Electro-Communications (UEC) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-14 13:50:00 |
| Presentation Time |
140 minutes |
| Registration for |
SP |
| Paper # |
SP2024-5 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.80 |
| Page |
pp.23-27 |
| #Pages |
5 |
| Date of Issue |
2024-06-07 (SP) |