Technical Program

Paper Detail

Paper:	SLP-L7.3
Session:	Speech Enhancement for Noise Suppression
Time:	Thursday, May 18, 10:40 - 11:00
Presentation:	Lecture
Topic:	Speech and Spoken Language Processing: Speech Enhancement (for Impaired Situations)
Title:	Subjective Comparison of Speech Enhancement Algorithms
Authors:	Yi Hu, Philipos Loizou, University of Texas, Dallas, United States
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.