The research on speech feature representation method and distance measure method

A speech feature analysis system, based on a dynamic programming match algorithm, is described. The system evaluates speech feature extraction methods and distance measure methods by two kinds of error-rate: overstep boundary error-rate and nearest neighbor error-rate. By means of the system, the performances of some speech feature representation methods and distance measure methods are evaluated for two different speech sets. The experimental results indicate that cepstrum is the best speech feature and that the relative distance measure methods are the absolute value distance and bandpass weighted cepstral distance methods.<>