A Noise - Robust Subspace
نویسنده
چکیده
A computationally eecient approach to the automatic segmentation (labeling) of noise disturbed speech is presented. The segmentation algorithm employs short term spectrum based feature vectors and a subspace representation of the sound classes. The two sound classes of vowels and unvoiced frica-tives are trained with the TIMIT acoustic phonetic continuous speech corpus. The sound class detector is applied in a speech enhancement system and for the automatic segment duration measurement .
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تاریخ انتشار 2007