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Fuzzy Training Algorithm for Wavelet Codebook Based Text-Independent Speaker Identification

机译:基于小波码本的文本无关说话人识别的模糊训练算法

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摘要

A speaker identification system based on wavelet transform (WT) derived from codebook design using fuzzy c-mean algorithm (FCM) is proposed. We have combined FCM and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 94% were achieved for 100 Mandarin speakers.
机译:提出了一种基于小波变换(WT)的说话人识别系统,该系统基于模糊C-均值算法(FCM)从码本设计中导出。我们将FCM和矢量量化(VQ)算法结合使用,可以避免扬声器数据压缩的典型局部最小值。 100位说普通话的人的识别率达到94%。

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