A non-intrusive quality and intelligibility measure of reverberant and dereverberated speech
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
From packets to people: quality of experience as a new measurement challenge
DataTraffic Monitoring and Analysis
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Non-intrusive estimation of speech quality is a challenging problem in that the estimation has to be performed without the original reference speech signals. This paper presents a new American national standard (ANS) for non-intrusive estimation of narrowband speech quality. The proposed auditory non-intrusive quality estimation plus (ANIQUE) model is a perceptual model simulating the functional roles of the human auditory system and employs improved modeling of quality estimation by a statistical learning paradigm. Experimental evaluation demonstrated that the performance of the ANIQUE model is significantly superior to that of the current International Telecommunication Union-Telecommunication Standardization Sector (ITU-T) standard recommendation P.563 on 34 different subjective mean opinion score (MOS) databases. © 2007 Alcatel-Lucent.