Acoustic Feedback Noise Cancellation in Hearing Aids Using Adaptive Filter

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