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Evaluation of Objective Quality Measures for Speech Enhancement

Hu, Yi, Loizou, Philipos C.·2008·IEEE Transactions on Audio, Speech, and Language Processing

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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Metadata

Authors
Hu, Y., & Loizou, P. C.
Venue
IEEE Transactions on Audio, Speech, and Language Processing
Published
2008-01
Volume
16
Issue
1
Pages
229-238
ISSN
1558-7916 (ISSN-L)
OpenAlex
W2144404214
Cited by
1,830
References
0
FWCI
44.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evaluation of Objective Quality Measures for Speech Enhancement. https://app.cochat.ai/papers/10.1109/tasl.2007.911054
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Hu, Y., & Loizou, P. C. (2008). Evaluation of Objective Quality Measures for Speech Enhancement. IEEE Transactions on Audio, Speech, and Language Processing. https://doi.org/10.1109/tasl.2007.911054

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