Improvement of PESQ based on UVS classification and syllable stability detection

Shilei Huang*, Jing Wang, Yi Liu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Hearing perception is different to speech segment, especially to unvoiced, voiced and silence (UVS) and it is also affected by the stability of frame distortions in each syllable. A good classification of UVS is an important role in speech quality assessment. Therefore, the Perceptual Evaluation of Speech Quality (PESQ) algorithm described in ITU-T P.862 is improved to get a better performance based on UVS classification and syllable stability detection. Experimental results show that the UVS based approach for PESQ is able to improve correlation results for narrowband speech and is potential for other usages.

Original languageEnglish
Pages474-477
Number of pages4
Publication statusPublished - 2010
Event2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore
Duration: 14 Dec 201017 Dec 2010

Conference

Conference2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
Country/TerritorySingapore
CityBiopolis
Period14/12/1017/12/10

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