Parametric representation of excitation source information for language identification
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- 作者：Dipanjan Nandia ; dipanjanconnect.08@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Debadatta Patib ; K. Sreenivasa Raoa
- 关键词：Excitation source information ; Language identification (LID) ; LP residual ; GFD parameters ; RMFCC ; MPDSS ; Pitch contour ; Epoch strength contour ; MFCC ; i-Vector ; IITKGP-MLILSC ; OGI-MLTS ; NIST LRE ; Cavg
- 刊名：Computer Speech & Language
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：41
- 期：Complete
- 页码：88-115
- 全文大小：890 K
文摘
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Excitation source information is explored for language identification.
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RMFCC and MPDSS features represent segmental level language-specific information.
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GFD parameters capture sub-segmental level language-specific information.
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PC and ESC represent supra-segmental level excitation source information.
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Complementary information from source and system features is examined.