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Methodology for quantifiying perceptual effects from noise suppression systems

Methodology for quantifiying perceptual effects from noise suppression systems
Methodology for quantifiying perceptual effects from noise suppression systems
Methodology is proposed for perceptual assessment of both subjective sound quality and speech recognition in such way that results can be compared between these two aspects. Validation is performed with a noise suppression system applied to hearing instruments.
A method termed Interpolated Paired Comparison Rating (IPCR) was developed for time efficient assessment of subjective impression of different aspects of sound quality for a variety of noise conditions. The method is based on paired comparisons between processed and unprocessed stimuli, and the results are expressed as the difference in signal-to-noise ratio (dB) between these that give equal subjective impression. For tests of speech recognition in noise, validated adaptive test methods can be used that give results in terms of speech-to-noise ratio.
The methodology was shown to be sensitive enough to detect significant mean differences between processed and unprocessed speech in noise, both regarding subjective sound quality and speech recognition ability in groups consisting of 30 subjects. An effect on sound quality from the noise suppression equivalent to about 3–4 dB is required to be statistically significant for a single subject. A corresponding effect of 3–6 dB is required for speech recognition (one-sided test). The magnitude of difference that occurred in the present study for sound quality was sufficient to show significant differences for sound quality within individuals, but this was not the case for speech recognition.
paired comparisons, sound quality noise reduction
721-732
Dahlquist, Martin
52b3912d-f44c-4ae0-ade7-57b7612154af
Lutman, Mark E.
add34340-3241-4346-a668-8f51fdea6692
Wood, Sally
1d2da877-aa0a-4feb-ab95-c38956a335a7
Leijon, Arne
1815f273-d32c-4d5f-836a-d025518f6366
Dahlquist, Martin
52b3912d-f44c-4ae0-ade7-57b7612154af
Lutman, Mark E.
add34340-3241-4346-a668-8f51fdea6692
Wood, Sally
1d2da877-aa0a-4feb-ab95-c38956a335a7
Leijon, Arne
1815f273-d32c-4d5f-836a-d025518f6366

Dahlquist, Martin, Lutman, Mark E., Wood, Sally and Leijon, Arne (2005) Methodology for quantifiying perceptual effects from noise suppression systems. International Journal of Audiology, 44 (12), 721-732. (doi:10.1080/14992020500271712).

Record type: Article

Abstract

Methodology is proposed for perceptual assessment of both subjective sound quality and speech recognition in such way that results can be compared between these two aspects. Validation is performed with a noise suppression system applied to hearing instruments.
A method termed Interpolated Paired Comparison Rating (IPCR) was developed for time efficient assessment of subjective impression of different aspects of sound quality for a variety of noise conditions. The method is based on paired comparisons between processed and unprocessed stimuli, and the results are expressed as the difference in signal-to-noise ratio (dB) between these that give equal subjective impression. For tests of speech recognition in noise, validated adaptive test methods can be used that give results in terms of speech-to-noise ratio.
The methodology was shown to be sensitive enough to detect significant mean differences between processed and unprocessed speech in noise, both regarding subjective sound quality and speech recognition ability in groups consisting of 30 subjects. An effect on sound quality from the noise suppression equivalent to about 3–4 dB is required to be statistically significant for a single subject. A corresponding effect of 3–6 dB is required for speech recognition (one-sided test). The magnitude of difference that occurred in the present study for sound quality was sufficient to show significant differences for sound quality within individuals, but this was not the case for speech recognition.

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More information

Published date: 2005
Keywords: paired comparisons, sound quality noise reduction
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 28483
URI: https://eprints.soton.ac.uk/id/eprint/28483
PURE UUID: 1c77893a-c725-417f-9b81-b006e226d081

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Date deposited: 02 May 2006
Last modified: 17 Jul 2017 16:01

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Contributors

Author: Martin Dahlquist
Author: Mark E. Lutman
Author: Sally Wood
Author: Arne Leijon

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