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speakerrecognition

于 2006-11-02 发布 文件大小:1KB
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  语音识别中的两种特征提取方法lpcc和mfcc,还有一个是文本无关的识别算法dtw,另外还有一个是预处理消噪部分的。共享一下,这些都是我调试过的,好用。(Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use.)

文件列表:

speakerrecognition
..................\lpcc.m
..................\mfcc.m
..................\动态时间归整.m
..................\预处理.m

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    目前2.4kbps的混合激励线性预测 (MELP) 语音编码方法已经被确定为美国新的联邦语音编码标准.本文提出了一种改进的MELP语音编码方法,利用滤波器相似度和基于LPC系数分类的矢量量化技术,可以把MELP的码率降到1.7kbps以下,仍有较好的合成语音质量.(An Improved MELP Speech Coder)
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    2014-08-05 15:30:46下载
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    基于FastICA相结合实现的语音信号的采集、随机混合,再通过盲分离将混合后的语音信号分离(Speech signal acquisition and random mixing based on FastICA, and then the mixed speech signal is separated by blind separation.)
    2020-06-25 12:20:02下载
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    基于matlab环境下的一个独立分量分析的小程序,包括对三个语音信号混合后的ica分析(Analysis program based on an independent component in the Matlab environment, including analysis of three speech signals mixed after ica)
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