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Paper Abstract and Keywords
Presentation 2021-02-27 09:45
Construction of an acoustic model specific to singing voice
Satoshi Naito, Yasuyuki Saito (NITKC)
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to construct an acoustic model trained on singing voices. In phonetic analysis, it takes a great deal of time to manually correspond sentences to speech sounds. For this reason, automatic annotation tools have been developed. However, the acoustic model attached to the tools is trained on spoken voices, and the recognition accuracy of singing voices is reduced. In order to solve the above problems, we construct an acoustic model trained on singing voices using hidden Markov model, and compares and evaluates it with conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Acoustic model / Singing voices / Hidden Markov model / / / / /  
Reference Info. ITE Tech. Rep., vol. 45, no. 6, ME2021-30, pp. 5-8, Feb. 2021.
Paper # ME2021-30 
Date of Issue 2021-02-20 (ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee ME  
Conference Date 2021-02-27 - 2021-02-27 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To ME 
Conference Code 2021-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction of an acoustic model specific to singing voice 
Sub Title (in English)  
Keyword(1) Acoustic model  
Keyword(2) Singing voices  
Keyword(3) Hidden Markov model  
1st Author's Name Satoshi Naito  
1st Author's Affiliation National Institute of Technology, Kisarazu College (NITKC)
2nd Author's Name Yasuyuki Saito  
2nd Author's Affiliation National Institute of Technology, Kisarazu College (NITKC)
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Speaker Author-1 
Date Time 2021-02-27 09:45:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2021-30 
Volume (vol) vol.45 
Number (no) no.6 
Page pp.5-8 
Date of Issue 2021-02-20 (ME) 

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