Long-standing problems in speech perception dissolve within an information-theoretic perspective
نویسندگان
چکیده
منابع مشابه
An Information-Theoretic Discussion of Convolutional Bottleneck Features for Robust Speech Recognition
Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...
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Article history: Received 17 April 2008 Available online 10 October 2008 Communicated by M.A. Girolami
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ژورنال
عنوان ژورنال: Attention, Perception, & Psychophysics
سال: 2019
ISSN: 1943-3921,1943-393X
DOI: 10.3758/s13414-019-01702-x