International Symposium on Chinese Spoken Language Processing (ISCSLP 2002)

Taipei, Taiwan
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.


Full Paper

Bibliographic reference.  Wang, Dong / Hzu, Xiaoyan / Liu, Ying (2002): "A new normalization for MFCC: multi layer strategy and rrcursive progress", In ISCSLP 2002, paper 2.