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Nonintrusive speech quality assessment with low computational complexity (2006)
| Venue: | In Interspeech - ICSLP |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Grancharov06nonintrusivespeech,
author = {Volodya Grancharov and David Y. Zhao and Jonas Lindblom and W. Bastiaan Kleijn},
title = {Nonintrusive speech quality assessment with low computational complexity},
booktitle = {In Interspeech - ICSLP},
year = {2006}
}
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Abstract
We describe an algorithm for monitoring subjective speech quality without access to the original signal that has very low computational and memory requirements. The features used in the proposed algorithm can be computed from commonly used speechcoding parameters. Reconstruction and perceptual transformation of the signal are not performed. The algorithm generates quality assessment ratings without explicit distortion modeling. The simulation results indicate that the proposed non-intrusive objective quality measure performs better than the ITU-T P.563 standard despite its very low computational complexity. Index Terms: non-intrusive quality assessment, quality of service. 1.
Keyphrases
low computational complexity nonintrusive speech quality assessment index term original signal simulation result quality assessment rating non-intrusive objective quality measure subjective speech quality low computational memory requirement non-intrusive quality assessment explicit distortion modeling perceptual transformation
