Paper Abstract and Keywords |
Presentation |
2022-06-17 15:00
Representation and analytical normalization for vocal-tract-length transformation by group theory Atsushi Miyashita, Tomoki Toda (Nagoya Univ) SP2022-11 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In automatic speech recognition, a recognition result should be invariant with respect to acoustic changes caused by different speakers. Vocal Tract Length Transformation (VTLT) is one of the typical transformations to reproduce those acoustic changes. In this report, we propose an alternative representation of VTLT based on all-pass-warping by using the group theory and an analytical approach to normalizing the acoustic changes caused by it. The proposed approach is capable of extracting the normalized feature independently on training data. An experimental result of a frame-wise phoneme classification task using TIMIT has demonstrated that the proposed method yields classification performance improvements for pseudo speakers whose vocal tract lengths are different from those of the speakers in the training data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Automatic speech recognition / speaker normalization / vocal tract length transformation / invariant feature / group theory / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 81, SP2022-11, pp. 41-46, June 2022. |
Paper # |
SP2022-11 |
Date of Issue |
2022-06-10 (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) |
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SP2022-11 |
Conference Information |
Committee |
SP IPSJ-MUS IPSJ-SLP |
Conference Date |
2022-06-17 - 2022-06-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2022-06-SP-MUS-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Representation and analytical normalization for vocal-tract-length transformation by group theory |
Sub Title (in English) |
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Automatic speech recognition |
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speaker normalization |
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vocal tract length transformation |
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invariant feature |
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group theory |
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1st Author's Name |
Atsushi Miyashita |
1st Author's Affiliation |
Nagoya University (Nagoya Univ) |
2nd Author's Name |
Tomoki Toda |
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Nagoya University (Nagoya Univ) |
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Speaker |
Author-1 |
Date Time |
2022-06-17 15:00:00 |
Presentation Time |
120 minutes |
Registration for |
SP |
Paper # |
SP2022-11 |
Volume (vol) |
vol.122 |
Number (no) |
no.81 |
Page |
pp.41-46 |
#Pages |
6 |
Date of Issue |
2022-06-10 (SP) |