International Symposium on Chinese Spoken Language Processing (ISCSLP 2002)

Taipei, Taiwan
August 23-24, 2002

Constrained Maximum A Posteriori Approach for Speech Enhancement

Chuan Jia, Jian Zhang, Bo Xu

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

The maximum a posteriori estimator based on HMMís is successful to some degree because of the incorporation of prior knowledge of speech and markovian properties of the models. The enhanced speech quality is, however, not satisfying at low input SNR. In order to improve speech quality at low input SNR, this paper proposes a method that incorporates codebook constrained Wiener filter into MAP framework to impose spectral constraints on estimated speech signals. The objective measures, global SNR and Itakura-Saito distortion measure, verified the quality improvement of the proposed method.


Full Paper

Bibliographic reference.  Jia, Chuan / Zhang, Jian / Xu, Bo (2002): "Constrained maximum a posteriori approach for speech enhancement", In ISCSLP 2002, paper 97.