Subjective comparison and evaluation of speech enhancement algorithms

Authors:
Yi Hu;Philipos C. Loizou
Affiliations:
Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX 75083-0688, USA;Department of Electrical Engineering, The University of Texas at Dallas, Richardson, TX 75083-0688, USA
Venue:
Speech Communication
Year:
2007

Citing 1
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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.