The DOI matches its Crossref record.
An objective measure for predicting subjective quality of speech coders
Abstract
A perceptually motivated objective measure for evaluating speech quality is presented. The measure, computed from the original and coded versions of an utterance, exhibits statistically a monotonic relationship with the mean opinion score, a widely used criterion for speech coder assessment. For each 10-ms segment of an utterance, a weighted spectral vector is computed via 15 critical band filters for telephone bandwidth speech. The overall distortion, called Bark spectral distortion (BSD), is the average squared Euclidean distance between spectral vectors of the original and coded utterances. The BSD takes into account auditory frequency warping, critical band integration, amplitude sensitivity variations with frequency, and subjective loudness.>
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Citations
Cited by
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
Wang, Z., & Bovik, A. C. (2009) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.930649 · Cited by 3,175
Mel-cepstral distance measure for objective speech quality assessment
Kubichek, R. (2002) · Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing · doi:10.1109/pacrim.1993.407206 · Cited by 534
Applications of Digital Signal Processing to Audio and Acoustics
(2002) · The International Series in Engineering and Computer Science · doi:10.1007/b117882 · Cited by 278
Metadata
- Authors
- Wang, S., Sekey, A., & Gersho, A.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 1992-06
- Volume
- 10
- Issue
- 5
- Pages
- 819-829
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2163181067
- Cited by
- 350
- References
- 0
- FWCI
- 8.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An objective measure for predicting subjective quality of speech coders. https://app.cochat.ai/papers/10.1109/49.138987
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- Wang, S., Sekey, A., & Gersho, A. (1992). An objective measure for predicting subjective quality of speech coders. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/49.138987
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