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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
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Download PDF EA2022-116 SIP2022-160 SP2022-80

Conference Information
Committee SP IPSJ-SLP EA SIP  
Conference Date 2023-02-28 - 2023-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To SP 
Conference Code 2023-02-SP-SLP-EA-SIP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speech and Language Research in the Google Tokyo Office 
Sub Title (in English)  
Keyword(1) Letter-to-sound  
Keyword(2) denoising diffusion probabilistic models  
Keyword(3) Text to speech  
Keyword(4) Speech and Language Processing  
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1st Author's Name Michiel Bacchiani  
1st Author's Affiliation 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
Date of Issue 2023-02-21 (EA, SIP, SP) 


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