Implementation of magnitude estimation algorithm for hearing aid

Naik, R.; Stojcevski, Alex; Vibhute, V.; Singh, J.

doi:10.1109/biocas.2004.1454113

Cited by 4 publications

(3 citation statements)

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“…This operation can be performed by Double-Talk-Detector (DTD). Once it detects the double talk, it consequently stops the echo cancellation adaptation [14]. Adaptive echo cancellation is used to adapt the echo path impulse response and synthesize the replica echoes and Non-linear processor is used to remove the residual echoes.…”

Section: Results Analysismentioning

confidence: 99%

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Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter

Kumar¹,

Madhavi²,

Praveen³

et al. 2022

IJIE

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To enhance speech intelligibility for people with hearing loss, hearing aids will amplify speech using gains derived from evidence-based prescriptive methods, in addition to other advanced signal processing mechanisms. While the evidence supports the use of hearing aid signal processing for speech intelligibility, these signal processing adjustments can also be detrimental to hearing aid sound quality, with poor hearing aid sound quality cited as a barrier to device adoption. In general, an uncontrolled environment may contain degradation components like background noise, speech from other speakers etc. along with required speech components. In this paper, we implement adaptive filtering design for acoustic feedback noise cancellation in hearing aids. The adaptive filter architecture has been designed using normalized least mean square algorithm. By using adaptive filters both filter input coefficients are changeable during run-time and reduce noise in hearing aids. The proposed design is implemented in matlab and the simulations shows that the proposed architecture produces good quality of speech, accuracy, maintain stable steady state. The proposed design is validated with parameters like Noise Distortion, Perceptual Evaluation of Speech Quality, Signal to Noise Ratio, and Speech Distortion. The feedback canceller is implemented in MATLAB 9.4 simulink version release name of R2018a is used for validation with Echo Return Loss Enhancement (ERLE). The ERLE of the NMLS is reduced when the filter order is increases.Around 10% of the power spectrum density (PSD) is less when compared with existing designs.

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Section: Results Analysismentioning

confidence: 99%

“…It is more discrete than the ITE hearing aid and more suitable for mild to moderately severe hearing loss due to its size. Like ITC, earwax and moisture are the same problems [14,15].…”

Section: In the Channel (Itc)mentioning

confidence: 99%

Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter

Kumar¹,

Madhavi²,

Praveen³

et al. 2022

IJIE

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“…Hearing aid is a device that helps in making the normally inaudible sounds audible to the hearing impaired people and thus enables them to maintain contact with the aural world [1]. The principle is that it compensates the hearing loss with the auditory compensation algorithm and improves the speech intelligibility with the echo cancellation, the noise reduction, and the speech enhancement algorithms [2].…”

Section: Introductionmentioning

confidence: 99%

An Optimized Design Strategy for the Hardware Implementation of the Hearing Aid Algorithms

Guo¹,

Yong²,

Guo³

et al. 2015

AMM

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In this paper, a new design strategy for the hardware implementation of hearing aid algorithms is proposed. Two familiar hearing aid algorithms—Wide Dynamic Range Compression (WDRC) and Automatic Gain Control (AGC)—are implemented in one circuit as an example. By putting the common arithmetic procedures into common module, the operation units can be used repeatedly. In this way, the area and power consumption are visibly reduced.

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