Journal Article10.1109/TASL.2007.911054
Evaluation of Objective Quality Measures for Speech Enhancement
Yi Hu,Philipos C. Loizou +1 more
1.9K
TL;DR: The evaluation of correlations of several objective measures with these three subjective rating scales is reported on and several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.
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Abstract: In this paper, we evaluate the performance of several objective measures in terms of predicting the quality of noisy speech enhanced by noise suppression algorithms. The objective measures considered a wide range of distortions introduced by four types of real-world noise at two signal-to-noise ratio levels by four classes of speech enhancement algorithms: spectral subtractive, subspace, statistical-model based, and Wiener algorithms. The subjective quality ratings were obtained using the ITU-T P.835 methodology designed to evaluate the quality of enhanced speech along three dimensions: signal distortion, noise distortion, and overall quality. This paper reports on the evaluation of correlations of several objective measures with these three subjective rating scales. Several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.
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Citations
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Subjective and objective quality assessment of single-channel speech separation algorithms
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- 25 Mar 2012
TL;DR: Comparing subjective and objective measurements shows that PESQ and PEASS quality metrics predict well the subjective quality of separated signals obtained by the separation systems.
Deep Learning Assisted Time-Frequency Processing for Speech Enhancement on Drones
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- 24 Aug 2020
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Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
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TL;DR: A new model has been developed for use across a wider range of network conditions, including analogue connections, codecs, packet loss and variable delay, known as perceptual evaluation of speech quality (PESQ).
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•Book
Speech Enhancement: Theory and Practice
Philipos C. Loizou
- 07 Jun 2007
TL;DR: Clear and concise, this book explores how human listeners compensate for acoustic noise in noisy environments and suggests steps that can be taken to realize the full potential of these algorithms under realistic conditions.
2.5K
Evaluation of Objective Quality Measures for Speech Enhancement
Yi Hu,Philipos C. Loizou +1 more
TL;DR: The evaluation of correlations of several objective measures with these three subjective rating scales is reported on and several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.
1.9K