Bi-mel-scale frequency cepstrum and its application in telephone speech recognition

作     者：CHEN Jingdong XU Bo HUANG Taiyi(National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences Beijing 100080) 

出 版 物：《Chinese Journal of Acoustics》 (声学学报（英文版）)

年 卷 期：1998年第17卷第3期

页      面：234-243页

学科分类：0810[工学-信息与通信工程] 08[工学] 081002[工学-信号与信息处理] 

主　　题：LPCC IEEE BMFC 

摘      要：A new kind of feature for speech recognition, called Bi-Mel-scale Frequency Cepstrum (BMFC) is proposed. To calculate the BMFC, the speech signal is first segmented into short intervals and the bispectrum of each segment is estimated; then the bispectrum is smoothed by two-dimensional mel-scale inverse filter bank; finally, the bi-mel-scale frequency cepstrum coefficients are obtained by decorrelating the outputs of the filter bank with twodimensional Discrete Cosine Transform (DCT). Preliminary experiments show that the new feature can improve the performance of a telephone speech recognizer and is more robust to white noise than the conventional LPCC (Linear Prediction Coefficients) and MFCC (Mel-scale Frequency Cepstrum Coefficents) used in speech recognition