基于改进LPCC和MFCC的汉语耳语音识别

Identification of Chinese whispered speech based on modified LPCC and MFCC

以提高汉语耳语的识别率为目的,提出了将MFCC、LPCC及它们各自的动态参数等多种特征有效结合进行耳语识别的方法。实验结果说明了LPCC、MFCC结合动态参数可作为汉语耳语音识别的特征参数,且它们的结合提高了系统的识别率,在小字库内得出的识别率为94.5%。

In order to improve the rate of identification of the whispered speech,this paper puts forward a method that combining efficiently more features such as MFCC and LPCC and their dynamic parameters and so on to acquire better recognition performance.The experimental results demonstrate that the LPCC and MFCC combine with the dynamic parameters features can be used as efficient parameters for the Chinese whispered speech recognition,and their combination improve the performance of the whispered speaker recognition system.A recognition rate of 94.5% is obtained when a small Chinese isolated word database is tested.