First with the endpoint detection of speech to voice some of the useful extracted from the (soon to mute some of the head and tail removed), and then extract the speech signal with the LPC algorithm characteristic parameters of dynamic warping (DTW algorithm) after the template library compared to standard voice inside, and finally the recognition result is D/A conversion after playing out. In this part of the design, mainly to complete the pattern matching algorithm for speech recognition part of the software.

新建文件夹\5.第五章_基于统计模型(HMM)方式的语音识别技术.ppt
..........\DTW算法.doc
..........\HMM在语音识别系统中的应用.pdf
..........\一种改进的基于小波去噪HMM非特定人语音识别算法.pdf
..........\关于MFCC参数.doc
..........\利用matlab进行MFCC特征提取.pdf
..........\基于语音识别系统中DTW算法改进技术研究.pdf
..........\第三章_语音信号的特征分析.ppt
..........\语音chapter_3.ppt
..........\语音信号的短时分析技术.ppt
..........\语音识别中DTW特征匹配的改进算法研究.pdf
新建文件夹

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