Infant Cry Recognition based on Feature Extraction
The choice of feature parameters is very crucial for the system of infant cry recognition.This paper describes the principle and method of mel cepstrum coefficients which is used commonly and adopts a combination algorithm of mel frequency cepstrum coefficients, cepstrum mean subtraction, inverted mel frequency cepstral coefficient,which aim to enhance recognition accuracy in the infant cry recognition system.Results show that the recognition rate of improved algorithm increases compared to the classical algorithm in the same environment.
mel-frequency cepstrum coefficients (mfcc) infa-nt recognition feature extraction
Feng-Ling Yuan Xiang-Nian Huang
School of Mathematics and Computer Engineering Xihua University Chengdu,China
国际会议
昆明
英文
166-169
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）