关键词: 希尔伯特黄变换, 病态嗓音, A-f标准差参数, 离散隐含马尔可夫模型, MEL频率倒谱系数

Abstract: This paper mainly proposes the validity of instantaneous energy’s and instantaneous frequency’s standard deviation parameter used as the pathological voice’s characteristics extracted based on HHT，describs the process of extracting characteristics in detail，and recognizes the new characteristic parameter and the MFCC coefficient uses the DHMM model.The result from recognition shows that，A-f standard deviation parameter which based on HHT is more resultful to use on describing pathological voice，distinguish the pathological voice from normal voice more effectively.

Key words: Hilbert-Huang Transform（HHT）, pathological voice, A-f standard deviation parameter, Discrete Hidden Markov Models（DHMM）, Mel Frequency Cepstrum Coefficient（MFCC）