Literature DB >> 12916699

Use of a loudness model for hearing aid fitting. V. On-line gain control in a digital hearing aid.

Stefan Launer1, Brian C J Moore.   

Abstract

Many researchers have proposed that hearing aids should process sounds so as to restore loudness perception to 'normal'. We describe how a model for predicting loudness for people with cochlear hearing loss can be implemented in a digital hearing aid so as to calculate the frequency-dependent gains that would be required to achieve that goal. It is assumed that the input signal is processed using brief segments or 'frames'. For each frame, the spectrum is calculated, usually via a fast Fourier transform (FFT). From the spectrum, an excitation pattern is calculated for a normal car and for the impaired ear of the patient. The loudness model is then used to calculate the gain required at the centre frequency of each channel in the aid, so as to match the specific loudness in the normal and impaired ears. The whole process is repeated for each successive frame, with overlap of frames and with smoothing of the gain changes across frames. We describe both an 'exact' model, which prescribes a 'curvilinear' compression characteristic at each frequency, and an approximation using 'straight' compression, which is computationally less intensive. Limitations of the present approach are described, and the approach is compared with more traditional approaches using multichannel compression, and with previous approaches using loudness models for fitting hearing aids.

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Year:  2003        PMID: 12916699     DOI: 10.3109/14992020309078345

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  2 in total

1.  An active loudness model suggesting tinnitus as increased central noise and hyperacusis as increased nonlinear gain.

Authors:  Fan-Gang Zeng
Journal:  Hear Res       Date:  2012-05-26       Impact factor: 3.208

2.  The Effects of Dynamic-range Automatic Gain Control on Sentence Intelligibility With a Speech Masker in Simulated Cochlear Implant Listening.

Authors:  Nathaniel J Spencer; Kate Helms Tillery; Christopher A Brown
Journal:  Ear Hear       Date:  2019 May/Jun       Impact factor: 3.570

  2 in total

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