Presentation | 2007/3/2 Application and Performance evaluation of RSF/DRA to Various Acostic Features in Speech Recognition Masanori SUKEGAWA, Noboru HAYASAKA, Yoshikazu MIYANAGA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | As a robust speech recognition system, we have proposed RSF and DRA. The RSF is a noise robust technique for reducing the convolutive noise and a part of additive noise. The DRA is a technique for the adjustment between clean and noisy speech features.They are applied for MFCC features. In this report we apply RSF/DRA for not only MFCC but also BFCC and PLP features, and we compare their performances and it is shown that the RSF/DRA is effective against every features. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | RSF / DRA / MFCC / PLP / mel scale / bark scale |
Paper # | SIS2006-85 |
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Committee | SIS |
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Conference Date | 2007/3/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Application and Performance evaluation of RSF/DRA to Various Acostic Features in Speech Recognition |
Sub Title (in English) | |
Keyword(1) | RSF |
Keyword(2) | DRA |
Keyword(3) | MFCC |
Keyword(4) | PLP |
Keyword(5) | mel scale |
Keyword(6) | bark scale |
1st Author's Name | Masanori SUKEGAWA |
1st Author's Affiliation | Graduate School of Information Science Technology, Hokkaido University() |
2nd Author's Name | Noboru HAYASAKA |
2nd Author's Affiliation | Graduate School of Information Science Technology, Hokkaido University |
3rd Author's Name | Yoshikazu MIYANAGA |
3rd Author's Affiliation | Graduate School of Information Science Technology, Hokkaido University |
Date | 2007/3/2 |
Paper # | SIS2006-85 |
Volume (vol) | vol.106 |
Number (no) | 576 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |