Speech feature based on position of PCNN neurons fired and its application to speaker recognition
Ruan Bai-ya · Computer Engineering and Applications Journal · 2009
Spectrogram is a time-frequency representation of speech signal.This image contains rich information of the speech.The traditional speech feature extracted from spectrogram using Pulse Couple Neural Network(PCNN) is the time series of the numbers of neurons fired at each iteration.Usually the length of the series is 50 data points.This paper proposes a new approach to extract speech feature from spectrogram using PCNN,which is based on the distribution of the neurons fired.Experiments on speaker recognition show that the new speech feature yields much better results than the traditional one.