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
GSC Adaptive Beamforming Using Fast NLMS Algorithm for Speech Enhancement
S. Siva Priyanka,T. Kishore Kumar +1 more
- 27 Jul 2019
TL;DR: This paper presents speech enhancement using Generalized Side lobe Canceller beamforming with Fast Normalized Least Mean Square (FNLMS) adaptive algorithm under various real-time noisy conditions to have enhanced speech at the output.
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Ina Kodrasi,Hervé Bourlard +1 more
- 01 Jan 2018
TL;DR: This paper proposes to use the distribution of speech spectral coefficients as a novel discriminatory feature between PD and healthy speech and shows that the shape parameter modeling PD spectral magnitudes is larger than the shape parameters modeling healthy spectralMagnitude, i.e., PD spectral coefficients are less superGaussian than healthy spectral coefficients.
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Microphone array speech enhancement based on tensor filtering methods
TL;DR: The experimental results indicate that the proposed tenor filtering methods have potential ability of retrieving the target signal from noisy microphone array signal and the multi-mode Wiener filtering method provides the best denoising results among the three ones.
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Objective and Subjective Assessment of the Quality and Intelligibility of Noised Speech
Arkadiy Prodeus,Vitalii Didkovskyi,Maryna Didkovska,Igor Kotvytskyi,Daria Motorniuk,Artur Khrapachevskyi +5 more
- 01 Oct 2018
TL;DR: It is shown that segmental signal-to-noise ratio (SSNR) is insensitive to the noise spectrum shape, and the behavior of logarithmic spectral distortion and bark-spectral distortion measures is only partially consistent with the results of the speech quality and intelligibility subjective assessment.
8
On single-channel noise reduction with rank-deficient noise correlation matrix
TL;DR: The eigenvalue decomposition is applied to both the speech and noise correlation matrices to separate the null and nonnull subspaces, and a set of optimal and suboptimal filters are derived from the nullspace of the noise signal.
8
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Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
Antony William Rix,John G. Beerends,Michael Peter Hollier,Andries Pieter Hekstra +3 more
- 07 May 2001
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).
2.8K
•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