Improvements of Silent Speech Interface Algorithms

Abstract

Gammatone filter features are another type of speech feature extraction method that is based on modeling the human auditory system. They are calculated by filtering the speech signal with a bank of gammatone filters, which are modeled after the tuning of the auditory system's hair cells. The output of each filter is then rectified and low-pass filtered, and the resulting signals are then used as features.This function is commonly used in ANNs as an activation function for hidden layers It is able to produce speech with natural-sounding intonation and prosody.