International Symposium on Chinese Spoken Language Processing
August 23-24, 2002
A New Normalization for MFCC: Multi Layer Strategy and Rrcursive Progress
Dong Wang, Xiaoyan Hzu, Ying Liu
Tsinghua University, Beijing, China
One main obstacle in speech recognition is what said
"robustness". This paper focus on one popular idea in
antagonizing speech system vulnerability-channel
normalization, and presents a new normalization algorithm-
Multi-Layer Channel Normalization (MLCN), which exploits
the recursive compensation progress in two domains- spectral
domain and cepstral domain- to depress different noises, so that
the more robust speech representation is achieved.
Experimental results of our gallina system demonstrate the
validity of our new algorithm.
Wang, Dong / Hzu, Xiaoyan / Liu, Ying (2002):
"A new normalization for MFCC: multi layer strategy and rrcursive progress",
In ISCSLP 2002, paper 2.