Information geometry theory of high-dimension space and application for speaker independent continuous digit speech recognition

被引：0

作者：

Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

来源：

Chin J Electron | 2006年 / 4 A卷 / 768-784期

关键词：

Information analysis;

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摘要：

引用

共 29 条

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[27] Generalized mel frequency cepstral coefficients for large-vocabulary speaker-independent continuous-speech recognition
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O'Shaughnessy, D
Farhat, A
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1999, 7 (05): : 525 - 532
[28] A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition
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Jia, Yunde
Lyu, Michael R.
PATTERN RECOGNITION, 2008, 41 (09) : 2842 - 2854
[29] Short Utterance Speaker Recognition Based on Speech High Frequency Information Compensation and Dynamic Feature Enhancement Methods
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