IEEE - Institute of Electrical and Electronics Engineers, Inc. - Extracting deep bottleneck features using stacked auto-encoders

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

Author(s): Jonas Gehring ; Yajie Miao ; Florian Metze ; Alex Waibel
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): 3,377 - 3,381
ISBN (Electronic): 978-1-4799-0356-6
ISSN (Paper): 1520-6149
DOI: 10.1109/ICASSP.2013.6638284
Regular:

In this work, a novel training scheme for generating bottleneck features from deep neural networks is proposed. A stack of denoising auto-encoders is first trained in a layer-wise, unsupervised... View More

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