Gammachirp滤波器组在语音特征提取中的应用

his paper introduced a method of speech feature extraction based on Gammachirp filter banks. The Gammachirp filter is shown to be implemented through a combination of a Gammatone filter with an IIR asymmetric filter, which largely reduces the computational cost compared with the FIR method. The Gammachirp filter bank is used to extract Zero Crossing Peak Amplitude (ZCPA) feature, which works as the input of the radial basis function (RBF) network. The experiments were carried on in the case of level-independence, and the results of different chirp factors were achieved. The experiment shows that the results at is better than other chirp factors.