2016
DOI: 10.1121/1.4955025
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Subjective audio quality evaluation of embedded-optimization-based distortion precompensation algorithms

Abstract: Subjective audio quality evaluation experiments have been conducted to assess the performance of embedded-optimization-based precompensation algorithms for mitigating perceptible linear and nonlinear distortion in audio signals. It is concluded with statistical significance that the perceived audio quality is improved by applying an embedded-optimization-based precompensation algorithm, both in case (i) nonlinear distortion and (ii) a combination of linear and nonlinear distortion is present. Moreover, a signi… Show more

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Cited by 2 publications
(2 citation statements)
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“…In terms of the ideal number of participants to use in such audio quality evaluations, the International Telecommunication Union Radiocommunication (ITU-R) body advocates a minimum of 10, if using expert listeners, or minimum of 20, if using nonexpert listeners [29]. Existing subjective audio evaluation studies have tended to comply with this utilisation of small sample sizes, with 26 being an average number of participants [30][31][32][33].…”
Section: Perceptual Audio Evaluationmentioning
confidence: 99%
“…In terms of the ideal number of participants to use in such audio quality evaluations, the International Telecommunication Union Radiocommunication (ITU-R) body advocates a minimum of 10, if using expert listeners, or minimum of 20, if using nonexpert listeners [29]. Existing subjective audio evaluation studies have tended to comply with this utilisation of small sample sizes, with 26 being an average number of participants [30][31][32][33].…”
Section: Perceptual Audio Evaluationmentioning
confidence: 99%
“…Their subjective experiment was used to quantitatively evaluate the combination of acoustic parameters and degree of diffusion. Burno [12] conducted a subjective audio quality evaluation experiment to assess the performance of a precompensation algorithm for mitigating perceptible linear and nonlinear distortion in audio signals. The subjective experiment in his study used a degradation category scale to quantitatively evaluate the sound quality.…”
Section: Introductionmentioning
confidence: 99%