Noise perturbation for supervised speech separation
نویسندگان
چکیده
منابع مشابه
Noise perturbation for supervised speech separation
Speech separation can be treated as a mask estimation problem, where interference-dominant portions are masked in a time-frequency representation of noisy speech. In supervised speech separation, a classifier is typically trained on a mixture set of speech and noise. It is important to efficiently utilize limited training data to make the classifier generalize well. When target speech is severe...
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ژورنال
عنوان ژورنال: Speech Communication
سال: 2016
ISSN: 0167-6393
DOI: 10.1016/j.specom.2015.12.006