DocumentCode :
1406537
Title :
Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP]
Author :
Yu, Dong ; Deng, Li
Author_Institution :
Microsoft Res., Redmond, WA, USA
Volume :
28
Issue :
1
fYear :
2011
Firstpage :
145
Lastpage :
154
Abstract :
The purpose of this article is to introduce the readers to the emerging technologies enabled by deep learning and to review the research work conducted in this area that is of direct relevance to signal processing. We also point out, in our view, the future research directions that may attract interests of and require efforts from more signal processing researchers and practitioners in this emerging area for advancing signal and information processing technology and applications.
Keywords :
learning (artificial intelligence); signal processing; deep learning; information processing; signal processing; Feature extraction; Hidden Markov models; Information processing; Machine learning; Speech recognition; Training;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2010.939038
Filename :
5670617
Link To Document :
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