IEEE - Institute of Electrical and Electronics Engineers, Inc. - Incoherent training of deep neural networks to de-correlate bottleneck features for speech recognition

ICASSP 2013 - IEEE International Conference on Acoustics, Speech and Signal Processing

Author(s): Yebo Bao ; Hui Jiang ; Lirong Dai ; Cong Liu
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2013
Conference Location: Vancouver, BC, Canada
Conference Date: 26 May 2013
Page(s): 6,980 - 6,984
ISBN (Electronic): 978-1-4799-0356-6
ISSN (Paper): 1520-6149
DOI: 10.1109/ICASSP.2013.6639015
Regular:

Recently, the hybrid model combining deep neural network (DNN) with context-dependent HMMs has achieved some dramatic gains over the conventional GMM/HMM method in many speech recognition tasks.... View More

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