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Speech Quality Measure for VoIP Using Wavelet Based Bark Coherence Function  

박상욱 (연세대학교 전기전자공학과 미디어 통신 신호처리 연구실)
박영철 (연세대학교 정보기술학부)
윤대희 (연세대학교 전기전자공학과 미디어 통신 신호처리 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.4A, 2002 , pp. 310-315 More about this Journal
Abstract
The Bark Coherence Function (BCF) defies a coherence function within perceptual domain as a new cognition module, robust to linear distortions due to the analog interface of digital mobile system. Our previous experiments have shown the superiority of BCF over current measures. In this paper, a new BCF suitable for VoIP is developed. The unproved BCF is based on the wavelet series expansion that provides good frequency resolution while keeping good time locality. The proposed Wavelet based Bark Coherence function (WBCF) is robust to variable delay often observed in packet-based telephony such as Voice over Internet Protocol (VoIP). We also show that the refinement of time synchronization after signal decomposition can improve the performance of the WBCF. The regression analysis was performed with VoIP speech data. The correlation coefficients and the standard error of estimates computed using the WBCF showed noticeable improvement over the Perceptual Speech Quality Measure (PSQM) that is recommended by ITU-T.
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