Presentation | 2014-12-16 Accent identification by conbining GMM and DNN under reverberant environment Ryota Sakagami, Longbiao Wang, Zhang Zhaofeng, Khomdet Phapatanaburi, Masahiro Iwahashi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Speech recognition technical is becoming popular in many fields, while the acoustic model for native is not effective for non-native speakers. Thus, we need to distinguish the accent of native and non-native speech and select the appropriate acoustic model for speech recognition. In this paper, we consider the effect of reverberation in reality application. Thus, two methods of accent verification by using GMM and DNN in reverberant environment are proposed. The combination of likelihood with these two approaches is also performed. In reverberant environment, we improved the accent verification rate from 49.9% to 90.7% with GMM and 90.4% with DNN. Furthermore, the combination of likelihood gives a better verification rate of 96.6%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | machine learning / GMM / DNN / accent verification |
Paper # | SP2014-120 |
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Committee | SP |
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Conference Date | 2014/12/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Accent identification by conbining GMM and DNN under reverberant environment |
Sub Title (in English) | |
Keyword(1) | machine learning |
Keyword(2) | GMM |
Keyword(3) | DNN |
Keyword(4) | accent verification |
1st Author's Name | Ryota Sakagami |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Longbiao Wang |
2nd Author's Affiliation | Nagaoka University of Technology |
3rd Author's Name | Zhang Zhaofeng |
3rd Author's Affiliation | Nagaoka University of Technology |
4th Author's Name | Khomdet Phapatanaburi |
4th Author's Affiliation | Nagaoka University of Technology |
5th Author's Name | Masahiro Iwahashi |
5th Author's Affiliation | Nagaoka University of Technology |
Date | 2014-12-16 |
Paper # | SP2014-120 |
Volume (vol) | vol.114 |
Number (no) | 365 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |