DNN Transfer Learning Based Non-Linear Feature Extraction for Acoustic Event Classification
نویسندگان
چکیده
منابع مشابه
DNN Transfer Learning Based Non-Linear Feature Extraction for Acoustic Event Classification
Recent acoustic event classification research has focused on training suitable filters to represent acoustic events. However, due to limited availability of target event databases and linearity of conventional filters, there is still room for improving performance. By exploiting the non-linear modeling of deep neural networks (DNNs) and their ability to learn beyond pre-trained environments, th...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2017
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2017edl8048