2012
DOI: 10.1016/j.specom.2011.09.005
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Multi-band frequency compression for improving speech perception by listeners with moderate sensorineural hearing loss

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Cited by 21 publications
(15 citation statements)
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“…Use of fixed frame analysissynthesis resulted in perceptible distortions and adversely affected the advantage of multi-band frequency compression. Evaluation of pitch-synchronous implementation using Modified Rhyme Test on eight subjects with moderate sensorineural loss showed best performance for the compression factor of 0.6, with a mean increase of 16.5% in recognition scores and a mean decrease of 0.89 s in response time [9]. The results indicated that the processing may improve the usefulness of hearing aids for persons with moderate sensorineural loss.…”
Section: Multi-band Frequency Compressionmentioning
confidence: 92%
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“…Use of fixed frame analysissynthesis resulted in perceptible distortions and adversely affected the advantage of multi-band frequency compression. Evaluation of pitch-synchronous implementation using Modified Rhyme Test on eight subjects with moderate sensorineural loss showed best performance for the compression factor of 0.6, with a mean increase of 16.5% in recognition scores and a mean decrease of 0.89 s in response time [9]. The results indicated that the processing may improve the usefulness of hearing aids for persons with moderate sensorineural loss.…”
Section: Multi-band Frequency Compressionmentioning
confidence: 92%
“…Multi-band frequency compression [7] - [9] involves dividing speech spectrum into analysis bands and compressing the spectral samples in each band towards the band center. The objective is to present speech energy in relatively narrow bands in order to avoid masking by adjacent spectral components and to reduce the effects of increased intraspeech spectral masking.…”
Section: Multi-band Frequency Compressionmentioning
confidence: 99%
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“…In the past decades, the binaural dichotic presentation [2], spectral contrast enhancement [3], and multiband frequency compression [4] algorithm were proposed for reducing the spectral masking but these techniques were observed to have problems with speech perception. After this, the redundant signal energy is minimized in speech segregation algorithm for attaining the fine quality of a desired speech signal.…”
Section: Introductionmentioning
confidence: 99%