FIR filter bank using adaptive algorithm for Audiogram Matching in Digital Hearing Aid

ISSN: 2231-5381 http://www.ijettjournal.org Page 106 Abstract: Finite impulse response (FIR) filters and filter banks contains specific properties as good stability as well as linear-phase can be easily achieved. hence, they are popular in many applications such as communication systems, audio signal processing, biomedical instruments. Based on these properties we can implement FIR filter bank design in Digital Hearing Aid processing. Most of the currently available hearing aid designs provide the filter bank with fixed bands (uniform or nonuniform). Thus the patients unable to take the full advantage to improve their specific auditive performance by using the hearing aid with limited number of fixed bands. This reduces the potential flexibility in matching of hearing loss with steeply sloping audiograms. One method of improving the same is to use an instrument with higher number of frequency bands for matching the audiogram with minimum matching error. This proposed paper represents an efficient FIR filter design using adaptive algorithm to match the audiogram with minimum errors with the filter coefficients so that the signal to noise ratio(SNR) is increased and noise in minimized.