Technical Program

Paper Detail

Session:Objective Quality Assessment of Speech
Time:Friday, May 21, 15:50 - 16:10
Presentation: Special Session Lecture
Topic: Special Sessions: Objective Quality Assessment of Speech
Authors: Doh-Suk Kim; Lucent Technologies 
 Ahmed Tarraf; Lucent Technologies 
Abstract: In order to estimate the quality of degraded speech processed by communication networks, conventional objective speech quality assessment methods require source speech signal, which has been applied to the networks, as well as the processed speech. This paper presents a new paradigm in objective speech quality assessment. In contrast to previous objective models, the proposed Auditory Non-Intrusive QUality Estimation (ANIQUE) model estimates the quality of speech without using the source speech information at all. ANIQUE is a perceptual model which simulates the functional role of human auditory system at both peripheral level and central auditory level. The performance of ANIQUE is demonstrated using 19 different subjective MOS databases.

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