DocumentCode :
2308424
Title :
Subjective Comparison of Speech Enhancement Algorithms
Author :
Hu, Yi ; Loizou, Philipos C.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Richardson, TX
Volume :
1
fYear :
2006
fDate :
14-19 May 2006
Abstract :
We report on the development of a noisy speech corpus suitable for evaluation of speech enhancement algorithms. This corpus is used for the subjective evaluation of 13 speech enhancement methods encompassing four classes of algorithms: spectral subtractive, subspace, statistical-model based and Wiener algorithms. The subjective evaluation was performed by Dynastat, Inc. using the ITU-T P.835 methodology designed to evaluate the speech quality along three dimensions: signal distortion, noise distortion and overall quality. This paper reports the results of the subjective tests
Keywords :
speech enhancement; statistical analysis; Wiener algorithms; noise distortion; noisy speech corpus; overall quality; signal distortion; spectral subtractive; speech enhancement algorithms; speech quality; statistical-model based algorithms; subspace; Acoustic noise; Databases; Distortion; Filters; Loudspeakers; Noise level; Speech analysis; Speech enhancement; Testing; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1659980
Filename :
1659980
Link To Document :
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