Speech distinction method

摘要

A speech distinction method, which includes dividing an input voice signal into a plurality of frames, obtaining parameters from the divided frames, modeling a probability density function of a feature vector in state j for each frame using the obtained parameters, and obtaining a probability P₀ that a corresponding frame will be a noise frame and a probability P₁ that the corresponding frame will be a speech frame from the modeled PDF and obtained parameters. Further, a hypothesis test is performed to determine whether the corresponding frame is a noise frame or speech frame using the obtained probabilities P₀ and P₁.