Conference paper

GRÉZL František and KARAFIÁT Martin. Hierarchical Neural Net Architectures for Feature Extraction in ASR. In: Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010). Makuhari, Chiba: International Speech Communication Association, 2010, pp. 1201-1204. ISBN 978-1-61782-123-3. ISSN 1990-9772.
Publication language:english
Original title:Hierarchical Neural Net Architectures for Feature Extraction in ASR
Title (cs):Hierarchické architektury neuronových sítí pro výpočet příznaků v rozpoznávání řeči
Pages:1201-1204
Proceedings:Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010)
Conference:Interspeech 2010
Place:Makuhari, Chiba, JP
Year:2010
ISBN:978-1-61782-123-3
Journal:Proceedings of Interspeech, Vol. 2010, No. 9, FR
ISSN:1990-9772
Publisher:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/grezl_interspeech2010_IS100741.pdf [PDF]
Keywords
Speech recognition, Feature extraction, Neural network architecture
Annotation
The paper is on the incorporation of Bottle-Neck features into hierarchical architecture of classifiers. This architecture was used for feature extraction for LVCSR of meetings and the resulting features were evaluated on NIST RT'05 and RT'07 test sets.
Abstract
This paper presents the use of neural net hierarchy for feature extraction in ASR. The recently proposed Bottle-Neck feature extraction is extended and used in hierarchical structures to enhance the discriminative property of the features. Although many ways of hierarchical classification/feature extraction have been proposed, we restricted ourselves to use the outputs of the first stage neural network together with its inputs. This approach is evaluated on meeting speech recognition using RT'05 and RT'07 test sets. The evaluated hierarchical feature extraction brings consistent improvement over the use of just the first level neural net.
BibTeX:
@INPROCEEDINGS{
   author = {Franti{\v{s}}ek Gr{\'{e}}zl and Martin Karafi{\'{a}}t},
   title = {Hierarchical Neural Net Architectures for Feature Extraction
	in ASR},
   pages = {1201--1204},
   booktitle = {Proceedings of the 11th Annual Conference of the
	International Speech Communication Association (INTERSPEECH
	2010)},
   journal = {Proceedings of Interspeech},
   volume = {2010},
   number = {9},
   year = {2010},
   location = {Makuhari, Chiba, JP},
   publisher = {International Speech Communication Association},
   ISBN = {978-1-61782-123-3},
   ISSN = {1990-9772},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=9363}
}

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