DocumentCode
1183088
Title
Voice activity detection based on complex Laplacian model
Author
Chang, Joon-Hyuk ; Kim, Nam Soo
Author_Institution
Sch. of Electr. Eng. & INMC, Seoul Nat. Univ., South Korea
Volume
39
Issue
7
fYear
2003
fDate
4/3/2003 12:00:00 AM
Firstpage
632
Lastpage
634
Abstract
A voice activity detector (VAD) based on the complex Laplacian model is proposed. The likelihood ratio based on the Laplacian model is computed and then applied to the VAD operation. According to experimental results, it is found that the Laplacian statistical model is more efficient for the VAD algorithm compared to the Gaussian model.
Keywords
discrete Fourier transforms; probability; speech coding; speech enhancement; Laplacian statistical model; VAD algorithm; complex Laplacian model; discrete Fourier transform coefficients; goodness-of-fit test; likelihood ratio; noisy speech distribution; speech enhancement; variable-rate speech coding; voice activity detector;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20030392
Filename
1194152
Link To Document