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 |
Download PDF |
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Conference Information |
Committee |
ME |
Conference Date |
2021-02-27 - 2021-02-27 |
Place (in Japanese) |
(See Japanese page) |
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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 |
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Acoustic model |
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Singing voices |
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Hidden Markov model |
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1st Author's Name |
Satoshi Naito |
1st Author's Affiliation |
National Institute of Technology, Kisarazu College (NITKC) |
2nd Author's Name |
Yasuyuki Saito |
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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 |
#Pages |
4 |
Date of Issue |
2021-02-20 (ME) |