Performance Evaluation of a Gammatone Filterbank for the Embedded System

A structured gammatone filterbank is proposed to decompose the mixture acoustic signal for the embedded system. The performance of the gammatone filterbank with various filter channels is evaluated by signal to noise ratio (SNR), perceptual evaluation of speech quality (PESQ) and automatic speech recognition (ASR) accuracy. As a detailed analysis shown, the gammatone filterbank with 24 channels is good for most embedded applications with a low complex and high performance at the same time.