A comparative study of performance of fpga based mel filter bank & bark filter bank

TL;DR

This paper compares FPGA-based implementations of MEL and BARK filter banks, analyzing their performance for non-linear frequency resolution in audio processing, with designs simulated and verified on Spartan 3E.

Contribution

It provides a detailed FPGA implementation and comparison of MEL and BARK filter banks for improved audio spectrum analysis.

Findings

Different bandwidths and spectrum ranges were successfully implemented.

Performance comparison highlights the advantages of each filter bank.

Designs were verified using VHDL and Xilinx tools.

Abstract

The sensitivity of human ear is dependent on frequency which is nonlinearly resolved across the audio spectrum .Now to improve the recognition performance in a similar non linear approach requires a front -end design, suggested by empirical evidences. A popular alternative to linear prediction based analysis is therefore filter bank analysis since this provides a much more straightforward route to obtain the desired non-linear frequency resolution. MEL filter bank and BARK filter bank are two popular filter bank analysis techniques. This paper presents FPGA based implementation of MEL filter bank and BARK filter bank with different bandwidths and different signal spectrum ranges. The designs have been implemented using VHDL, simulated and verified using Xilinx 11.1.For each filter bank, the basic building block is implemented in Spartan 3E. A comparative study among these two mentioned filter banks is also done in this paper.