Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation

Hwai-Tsu HU  Chu YU  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E92-D   No.7   pp.1488-1490
Publication Date: 2009/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E92.D.1488
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
Keyword: 
wideband recovery,  HMM-based parameter estimation,  weighted deviation linear transformation,  

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Summary: 
A hidden Markov model (HMM)-based parameter estimation scheme is proposed for wideband speech recovery. In each Markov state, the estimation efficiency is improved using a new mapping function derived from the weighted least squares of vector deviations. The experimental results reveal that the performance of the proposed scheme is superior to that combining the HMM and Gaussian mixture model (GMM).