Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter

Authors

  • Dr. D.N.S Ravi Kumar Sathyabama Institute of Science & Technology, Chennai-119, Tamilnadu, India.
  • Dr.Reddy Madhavi K Sree VidyanikethanEngineering college,Tirupati
  • Praveen N University of Technology and Applied Sciences,
  • Hari Hara P Kumar Sri Satya Sai University of Technology and Medical Sciences, Sehore, Madhya Pradesh
  • Dr. Ganganagunta Srinivas University of Technology and Applied Sciences, IBRA, North Al Sharqia region, Sultanate of Oman
  • M.V. Raju Vignan's Foundation for Science Technology and Research Vadlamudi, Guntur, Andhra Pradesh, India Pin Code:522213

Keywords:

Beam forming, Speech intelligibility, Sound quality, Speech enhancement, Speech communication

Abstract

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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Published

31-12-2022

How to Cite

Dr. D.N.S Ravi Kumar, K, D. M., N, P., Hari Hara P Kumar, Dr. Ganganagunta Srinivas, & M.V. Raju. (2022). Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter. International Journal of Integrated Engineering, 14(7), 45-55. https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/11044