Probabilistic compensation of unreliable feature components for robust speech recognition

Cyan L. Keung, Oscar C. Au, Chi H. Yim, Carrson C. Fung

研究成果: Conference contribution同行評審

摘要

Missing feature theory is well studied in robust ASR context, many works have been done on additive noise of different colors. These are based mainly on classical spectral subtraction and marginal density techniques. This paper addresses the problem of temporal distortion of feature components, that is all about time domain instead of frequency one. No specific noise model and extract computation needed. We showed that the digit words recognition rate is above 95%, given test samples are clean with 10dB white noise added to middle 30% portion of speech along the time axis.

原文English
主出版物標題6th International Conference on Spoken Language Processing, ICSLP 2000
發行者International Speech Communication Association
ISBN(電子)7801501144, 9787801501141
出版狀態Published - 1 一月 2000
事件6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
持續時間: 16 十月 200020 十月 2000

出版系列

名字6th International Conference on Spoken Language Processing, ICSLP 2000

Conference

Conference6th International Conference on Spoken Language Processing, ICSLP 2000
國家/地區China
城市Beijing
期間16/10/0020/10/00

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