Abstract:

Probability measure and distance measure are the most basic measures in pattern recognition, and vector quantization is a typical pattern recognition algorithm based on distance measure. According to the theory of quantum model distance measure, on the basis of vector quantization method, the paper explores a speaker recognition method based on quantum model distance. In order to deal with the timevarying property, the randomness and the highdimensional characteristics of speaker’s voice, we see a frame of speech signal as a quantum state, and measure model distance between quantum states according to quantum measurement theory. Simulation results in classical computer demonstrate that this method has slightly better in terms of operating time and visibly better in terms of recognition rate than vector quantization. It can provide a new way for the theoretical investigation on speaker recognition.

Key words: quantum;model distance;speaker;recognition