DocumentCode
454669
Title
Enhanced Non-Intrusive Speech Quality Measurement Using Degradation Models
Author
Falk, Tiago H. ; Chan, Wai-Yip
Author_Institution
Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, Ont.
Volume
1
fYear
2006
fDate
14-19 May 2006
Abstract
The speech quality estimation scheme in T.H. Falk et al. (2005) is improved with the addition of a reference model of the behavior of speech degraded by different transmission and/or coding schemes. Moreover, via maximization of a mutual information measure, we validate the use of segmental SNR as a measure of the amount of multiplicative noise present in the test signal. These two additions result in an algorithm that is more accurate and more robust to certain distortion conditions. When tested on unseen data, the proposed algorithm outperforms the current "state-of-art" P.563 algorithm while requiring considerably lower computational complexity
Keywords
computational complexity; speech coding; SNR; coding schemes; computational complexity; degradation models; distortion conditions; enhanced nonintrusive speech quality; state-of-art P.563 algorithm; Computational complexity; Degradation; Distortion measurement; Mutual information; Noise measurement; Noise robustness; Signal to noise ratio; Speech coding; Speech enhancement; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660151
Filename
1660151
Link To Document