DocumentCode
1940180
Title
On minimum mean square error speech enhancement
Author
Ephraim, Yariv
Author_Institution
AT&T Bell Lab., Murray Hill, NJ, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
997
Abstract
Motivation for using minimum mean square error (MMSE) estimation in noisy speech enhancement problems is given. An MMSE estimator which is based on hidden Markov modeling of the clean signal as well as the noise process is systematically developed. The MMSE estimator is tested and compared with the spectral subtraction estimator in vector quantization of noisy speech signals
Keywords
Markov processes; data compression; encoding; noise; parameter estimation; speech analysis and processing; speech intelligibility; MMSE estimator; hidden Markov modeling; minimum mean square error; noisy speech enhancement; spectral subtraction estimator; vector quantization; Distortion measurement; Estimation error; Gaussian noise; Hidden Markov models; Mean square error methods; Noise measurement; Parameter estimation; Particle measurements; Pollution measurement; Speech enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150509
Filename
150509
Link To Document