The most important part of Digital signal processing (DSP) application is a digital Finite Impulse Response (FIR) Filter bank. Designing and implementing the filter bank is a challenging task in Very Large Scale Integrated (VLSI) circuits. The multiplier and adder are the key blocks in the filter bank that consume high power, more area, and need high computation time. In this paper, an efficient FIR filter bank is designed based on the sub-band coding technique. In this proposed filter bank design, a total of 10 filters are present, and each filter has 5 taps so that the order of each filter in the filter bank structure is 4. This proposed filter bank splits the input audio signal into six sub-band signals based on its frequency, mostly used in hearing aids for audiogram matching. In hearing aids, the frequencies of the audio signal are split into different bands and then amplification is provided according to the different levels of hearing threshold, which is called audiogram matching. To improve the performance of this filter bank, Pipelined Floating Arithmetic has been used.