This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification

使用lpcc参数的vq算法，vq为主函数，lpcc是提取线性倒谱系数-The use of the VQ algorithm lpcc parameters, vq-based function, lpcc is the extraction of linear cepstrum coefficients

VQ声纹识别算法和实验. 摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．-VQ pattern recognition algorithms and experimental sound. Ab

基于VQ算法的说话人识别，特征参数采用LPCC系数。-Speech recognition based on VQ algorithm, the characteristic parameters using LPCC coefficients.