| 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.
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