Recurrent neural networks for noise reduction in robust ASR

13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012

Volumn 1, Issue , 2012, Pages 22-25

  Maas, Andrew L ^a   Le, Quoc V ^a   O'Neil, Tyler M ^a   Vinyals, Oriol ^b   Nguyen, Patrick ^c   Ng, Andrew Y ^a  

^a Stanford University   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c GOOGLE INC   (United States)

Author keywords

Deep learning; Neural networks; Robust ASR

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; DEEP LEARNING; DEEP NEURAL NETWORKS; DENOISING APPROACH; INPUT FEATURES; NOISE ENVIRONMENTS; PERFORMANCE IMPROVEMENTS; ROBUST ASR;

NEURAL NETWORKS; SPEECH RECOGNITION;

RECURRENT NEURAL NETWORKS;

EID: 84878409063     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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