Title :
Research on a New Kind of Speech Parameter Based on MFCC
Author_Institution :
Office of Acad. Affairs, Shaanxi Radio & TV Univ., Xi´an, China
Abstract :
Based on Anindya Roy´s research, this paper suggests a new kind of speech signal feature: second-order weighted Mel Frequency Cepstrum Coefficients by introducing the method of weighted filter bank analysis. It also studies the weighted factor in the process of obtaining the Inverted Mel Frequency Cepstrum Coefficients and presents the optimal weighted factor. The result of the experiments shows that this new parameter is more robust, and can be applied to generic speech recognition system.
Keywords :
channel bank filters; speech recognition; MFCC; generic speech recognition system; inverted Mel frequency cepstrum coefficients; optimal weighted factor; second-order weighted Mel frequency cepstrum coefficients; speech parameter; speech signal feature; weighted filter bank analysis; Cepstrum; Feature extraction; Filter banks; Mel frequency cepstral coefficient; Speech; Speech recognition; Mel Frequency Cepstrum Coefficients (MFCC); Inverted Mel Frequency Cepstrum Coefficients (IMFCC); second-order weighted Mel Frequency Cepstrum Coefficients (SO-MFCC); optimal weighted factor;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.171
