Performance improvement of signal classifiers for speech/audio coding by higher-order statistics

In this paper, a new decision rule for the frame-by-frame classification of speech and music signals is proposed. Based on the signal kurtosis and skewness, a binary decision tree is constructed by the classification and regression tree algorithm. By the speech quality tests in G.718 speech/audio coder, the superiority of the proposed algorithm is confirmed.