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MALLIDI, S. OGAWA, T. VESELÝ, K. NIDADAVOLU, P. HEŘMANSKÝ, H.
Original Title
Autoencoder based multi-stream combination for noise robust speech recognition
Type
conference paper
Language
English
Original Abstract
In this paper, we have proposed techniques to estimate performance of DNN based classifiers. The technique is based on modeling the distribution of DNN outputs, using autoencoders.
Keywords
speech recognition, human-computer interaction, computational paralinguistics
Authors
MALLIDI, S.; OGAWA, T.; VESELÝ, K.; NIDADAVOLU, P.; HEŘMANSKÝ, H.
RIV year
2015
Released
6. 9. 2015
Publisher
International Speech Communication Association
Location
Dresden
ISBN
978-1-5108-1790-6
Book
Proceeding of Interspeech 2015
1990-9772
Periodical
Proceedings of Interspeech
Year of study
Number
09
State
French Republic
Pages from
3551
Pages to
3555
Pages count
5
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2015/mallidi_interspeech2015_IS150897.pdf
BibTex
@inproceedings{BUT119906, author="Sri Harish {Mallidi} and Tetsuji {Ogawa} and Karel {Veselý} and Phani {Nidadavolu} and Hynek {Heřmanský}", title="Autoencoder based multi-stream combination for noise robust speech recognition", booktitle="Proceeding of Interspeech 2015", year="2015", journal="Proceedings of Interspeech", volume="2015", number="09", pages="3551--3555", publisher="International Speech Communication Association", address="Dresden", isbn="978-1-5108-1790-6", issn="1990-9772", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2015/mallidi_interspeech2015_IS150897.pdf" }