The system uses Mel frequency cepstrum coefficient(MFCC) which can reflect persons’ perception characteristic as feature parameters,then makes some improvements on VQ codebook’s forming algorithm when training,and proposes an optimized splitting algorithm of taking out vacant cell.
该系统采用了能够反映人对语音感知特性的Mel频率倒谱系数(MFCC)作为特征参数,对VQ训练时码书的形成算法作了一些改进,并提出了一种去空胞腔分裂法的优化算法。
参考来源 - 基于改进VQ算法的说话人识别·2,447,543篇论文数据,部分数据来源于NoteExpress
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