Speech quality assessment using 2D neurogram orthogonal moments

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• 作者：Wissam A. Jassim^a ; ^{binaye2001@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; Muhammad S.A. Zilany^b ; ^{zilany@um.edu.my" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Speech quality assessment ; Neurogram ; Auditory-nerve model ; Orthogonal moments ; Discrete Tchebichef&ndash ; Krawtchouk Transform DTKT ; PESQ ; POLQA
• 刊名：Speech Communication
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：80
• 期：Complete
• 页码：34-48
• 全文大小：2949 K

文摘

This study proposes a new objective speech quality measure using the responses of a physiologically-based computational model of auditory nerve (AN). The population response of the model AN fibers to a speech signal is represented by a 2D neurogram, and features of the neurogram are extracted by orthogonal moments. A special type of orthogonal moment, the orthogonal Tchebichef-Krawtchouk moment, is used in this study. The proposed measure is compared to the subjective scores from two standard databases, the NOIZEUS and the supplement 23 to the P series (P.Sup23) of ITU-T Recommendations. The NOIZEUS database is used in the assessment of 11 speech enhancement algorithms whereas the P.Sup23 database is used in the ITU-T 8 kbit/s codec (Recommendation G.729) characterization test. The performance of the proposed speech quality measure is also compared to the results from some traditional objective quality measures. In general, the proposed neural-response-based metric yielded better results than most of the traditional acoustic-property-based quality measures. The proposed metric can be applied to evaluate the performance of various speech-enhancement algorithms and compression systems.