2013 | OriginalPaper | Buchkapitel
Long, Deep and Wide Artificial Neural Nets for Dealing with Unexpected Noise in Machine Recognition of Speech
verfasst von : Hynek Hermansky
Erschienen in: Text, Speech, and Dialogue
Verlag: Springer Berlin Heidelberg
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Most emphasis in current deep learning artificial neural network based automatic recognition of speech is put on deep net architectures with multiple sequential levels of processing. . The current work argues that benefits can be also seen in expanding the nets longer in temporal direction, and wider into multiple parallel processing streams.