摘要: The goal of the speech segments extraction process is to separate acoustic events interest (the segment be recognised) in a continuously recorded signal from other parts (background). recognition rate many voice command systems very much dependent on accuracy. This paper discusses two novel HMM based techniques that segregate its concurrent background. first method can reliably used clean environments while second method, which makes use wavelets denoising technique, effective noisy environments. These methods have been implemented and shown superiority over popular techniques, thus, indicating they potential achieve greater levels accuracy rates.
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