DocumentCode
2450001
Title
Mel domain objective speech quality evaluation measure performance
Author
Wenlian Zhan ; Zhulin Shen
Author_Institution
Sch. of Foreign Languages, Hunan Int. Econ. Univ., Changsha, China
fYear
2012
fDate
16-18 July 2012
Firstpage
459
Lastpage
464
Abstract
Effectively the objective evaluation of voice quality, comparative analysis of the MFSC as characteristic parameter of Mel-SD and MFCC for the characteristic parameters of Mel-CD, feature extraction filter structure change of the two measure, and Mel-SD compression factor to be studied. Test studies have shown that, Mel-SD performance is better than Mel-CD also has the robustness of the structural change of the filter banks; Mel-CD is more sensitive to changes in filter structure, with the number of filters in the number of filters for over 13 the increase in performance degradation. Mel-SD in the case given the number of filters, the best compression factor. Within a certain range, the compression factor is not serious. The best compression factor in line with psychoacoustic static measurements of the experimental conclusions of the approximate expression. Parameter Optimization of Mel-CD and Mel-SD for the objective evaluation of the quality of voice communication systems in interference conditions, the results show that the Mel-SD performance is better than Mel-CD and the PESQ performance of the Mel-CD is quite PESQ.
Keywords
feature extraction; filtering theory; interference (signal); performance evaluation; speech coding; speech processing; voice communication; MFSC; Mel-SD compression factor; Mel-SD performance; characteristic parameter; comparative analysis; feature extraction filter structure; interference conditions; mel domain objective speech quality evaluation measure performance; parameter optimization; performance degradation; psychoacoustic static measurements; voice communication systems; voice quality evaluation; Correlation; Filter banks; Frequency domain analysis; Mel frequency cepstral coefficient; Nonlinear distortion; Optimization; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-0173-2
Type
conf
DOI
10.1109/ICALIP.2012.6376661
Filename
6376661
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