Článek ve sborníku konference

GRÉZL František a 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, s. 1201-1204. ISBN 978-1-61782-123-3. ISSN 1990-9772.
Jazyk publikace:angličtina
Název publikace:Hierarchical Neural Net Architectures for Feature Extraction in ASR
Název (cs):Hierarchické architektury neuronových sítí pro výpočet příznaků v rozpoznávání řeči
Strany:1201-1204
Sborník:Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010)
Konference:Interspeech 2010
Místo vydání:Makuhari, Chiba, JP
Rok:2010
ISBN:978-1-61782-123-3
Časopis:Proceedings of Interspeech, roč. 2010, č. 9, FR
ISSN:1990-9772
Vydavatel:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/grezl_interspeech2010_IS100741.pdf [PDF]
Klíčová slova
Speech recognition, Feature extraction, Neural network architecture
Anotace
Článek pojednává o využití hierarchické architektury neuronových sítí pro výpočet příznaků v automatickém rozpoznávání řeči.
Abstrakt
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 = {František Grézl and Martin Karafiát},
   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.cs?id=9363}
}

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