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 speech-coding 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.
Cite as: Grancharov, V., Zhao, D.Y., Lindblom, J., Kleijn, W.B. (2006) Non-intrusive speech quality assessment with low computational complexity. Proc. Interspeech 2006, paper 1391-Mon1CaP.10, doi: 10.21437/Interspeech.2006-48
@inproceedings{grancharov06_interspeech,
author={Volodya Grancharov and David Y. Zhao and Jonas Lindblom and W. Bastiaan Kleijn},
title={{Non-intrusive speech quality assessment with low computational complexity}},
year=2006,
booktitle={Proc. Interspeech 2006},
pages={paper 1391-Mon1CaP.10},
doi={10.21437/Interspeech.2006-48}
}