Title :
A recursive speech enhancement system employing Laplacian speech model
Author :
Wei Zhang ; Aboulnasr, Tyseer
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Abstract :
A new recursive approach for speech enhancement is proposed in This work. The speech is enhanced based on the Laplacian-Gaussian mixture model, where the Laplacian factor was estimated using the noisy speech signal. The proposed algorithm uses the enhanced signal to estimate the Laplacian factor resulting in a better estimate. Then the original speech is enhanced again with this estimate, recursively. The results show that the quality of the speech can be improved with this recursive approach, if the number of iterations is carefully selected.
Keywords :
Gaussian distribution; recursive estimation; speech enhancement; Laplacian factor; Laplacian speech model; Laplacian-Gaussian mixture model; noisy speech signal; recursive speech enhancement system; Additive noise; Detectors; Discrete cosine transforms; Gaussian noise; Information technology; Karhunen-Loeve transforms; Laplace equations; Oral communication; Speech enhancement; Working environment noise;
Conference_Titel :
Haptic, Audio and Visual Environments and Their Applications, 2004. HAVE 2004. Proceedings. The 3rd IEEE International Workshop on
Print_ISBN :
0-7803-8817-8
DOI :
10.1109/HAVE.2004.1391895