Title
Subjective comparison and evaluation of speech enhancement algorithms.
Abstract
Making meaningful comparisons between the performance of the various speech enhancement algorithms proposed over the years, has been elusive due to lack of a common speech database, differences in the types of noise used and differences in the testing methodology. To facilitate such comparisons, we report on the development of a noisy speech corpus suitable for evaluation of speech enhancement algorithms. This corpus is subsequently used for the subjective evaluation of 13 speech enhancement methods encompassing four classes of algorithms: spectral subtractive, subspace, statistical-model based and Wiener-type 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.
Year
DOI
Venue
2007
10.1016/j.specom.2006.12.006
Speech Communication
Keywords
Field
DocType
itu-t p.835,speech enhancement method,noisy speech corpus,noise distortion,speech enhancement algorithm,itu-t p.835 methodology,subjective test,noise reduction,subjective comparison,subjective evaluation,various speech enhancement,speech quality,common speech database,speech enhancement,statistical model,three dimensions
Speech corpus,Noise reduction,Speech enhancement,Signal processing,Speech processing,Computer science,Sound quality,Artificial intelligence,Distortion,Pattern recognition,Algorithm,Speech recognition,Statistical model
Journal
Volume
Issue
ISSN
49
7
0167-6393
Citations 
PageRank 
References 
198
10.25
15
Authors
2
Search Limit
100198
Name
Order
Citations
PageRank
Y. Hu1109869.42
Philipos C. Loizou299171.00