Single-Ended Speech Quality Measurement Using Machine Learning Methods

@article{Falk2006SingleEndedSQ,
  title={Single-Ended Speech Quality Measurement Using Machine Learning Methods},
  author={Tiago H. Falk and Wai-Yip Chan},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2006},
  volume={14},
  pages={1935-1947}
}
We describe a novel single-ended algorithm constructed from models of speech signals, including clean and degraded speech, and speech corrupted by multiplicative noise and temporal discontinuities. Machine learning methods are used to design the models, including Gaussian mixture models, support vector machines, and random forest classifiers. Estimates of the subjective mean opinion score (MOS) generated by the models are combined using hard or soft decisions generated by a classifier which has… CONTINUE READING
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