Mandarin speech recognition using segment-based cepstral comparison in noisy conditions

Shin Lun Tung, Yau Tarng Juang

研究成果: 雜誌貢獻期刊論文同行評審

摘要

A new scheme is proposed that compensates for the effects of noise in speech recognition systems. The new scheme was applied to Mandarin speech recognition. Another scheme, based on interpolation of the compensation vectors of several environments for a particular environment that is not obtained during the training phase, called interpolated SSDCN (ISSDCN), is also presented. Experimental results show that the scheme performs well under different SNR conditions.

原文???core.languages.en_GB???
頁(從 - 到)XV-1543
期刊Electronics Letters
32
發行號17
DOIs
出版狀態已出版 - 1996

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