A realtime analysis/synthesis Gammatone filterbank

Gammatone filterbanks are widely used in computational auditory models for modeling the peripheral filtering function of the cochlea. However, the high computational complexity and time consumption limits its usage in portable acoustic applications. To address this issue, a realtime and efficient digital implementation of Gammatone filterbank is proposed. The decomposed signal can be resynthesized by summation directly. We systematically examine the Gammatone filterbank with perceptual evaluation of speech quality (PESQ), Short-Time Objective Intelligibility (STOI), signal-to-noise ratio (SNR) and computational complexity. Evaluations and comparisons show that the proposed method has good performance and less computational complexity.