Paper Abstract and Keywords |
Presentation |
2023-03-01 13:45
[Invited Talk]
Speech and Language Research in the Google Tokyo Office Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the activities that earned me the 2022 elevation to IEEE Fellow with the citation “for leadership in commercial automatic speech recognition systems”. In the second part of the talk, I will present our recent work on “Helpful Neighbors”. Predicting the reading a Japanese place name based on the orthography alone is notoriously difficult, even for native speakers. This project proposes a novel machine learning model to predict the reading of place names in Japan using reading information from neighboring locations as contextual input. In the third part of this talk, I will present our recent work on Wavefit, a neural vocoders based on denoising diffusion probabilistic models (DDPM). This model enhances previously proposed DDPMs with an adaptive diffusion noise and incorporates the essence of Generative Adversarial Networks. The speech synthesized by this algorithm is in terms of quality on par with human speech and the time to synthesize speech is 240 times faster than the WaveRNN algorithm used in many of our products today. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Letter-to-sound / denoising diffusion probabilistic models / Text to speech / Speech and Language Processing / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 389, SP2022-80, pp. 239-240, Feb. 2023. |
Paper # |
SP2022-80 |
Date of Issue |
2023-02-21 (EA, SIP, 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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EA2022-116 SIP2022-160 SP2022-80 |
Conference Information |
Committee |
SP IPSJ-SLP EA SIP |
Conference Date |
2023-02-28 - 2023-03-01 |
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(See Japanese page) |
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Paper Information |
Registration To |
SP |
Conference Code |
2023-02-SP-SLP-EA-SIP |
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English |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Speech and Language Research in the Google Tokyo Office |
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Letter-to-sound |
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denoising diffusion probabilistic models |
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Text to speech |
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Speech and Language Processing |
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Michiel Bacchiani |
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Google (Google) |
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Speaker |
Author-1 |
Date Time |
2023-03-01 13:45:00 |
Presentation Time |
45 minutes |
Registration for |
SP |
Paper # |
EA2022-116, SIP2022-160, SP2022-80 |
Volume (vol) |
vol.122 |
Number (no) |
no.387(EA), no.388(SIP), no.389(SP) |
Page |
pp.239-240 |
#Pages |
2 |
Date of Issue |
2023-02-21 (EA, SIP, SP) |
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