Using Noise Robust Features for Speech Enhancement
نویسندگان
چکیده
A New system for speech enhancement, that uses hidden markov models (HMM) with noise-robust features, is developed. This system alleviates the error in decoding the noisy speech, that was observed in the conventional modelbased enhancement system [2] . This decoding error results in a degradation in the performance of the conventional system from its theoretical upper limits. A comparative test, using additive white noise, has shown that the proposed system is superior to conventional model-based speech enhancement system at all input SNR.
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تاریخ انتشار 2010