INTELLIGENT CLASSIFICATION METHOD OF VOCAL SIGNAL

Abstract

An intelligent classification method is proposed. The method extracts vocal features from the temporal domain, spectral domain and statistical features for measuring the vocal signal. The measured result is grouped by comparing with the trained data with single voiced source, and then different voices can be separated from the vocal signal to be classified. The vocal features are evaluated from temporal domain and spectral domain and the statistical features, and the method can improve the accuracy of the voice classification.