Conference paper

KARAFIÁT Martin, VESELÝ Karel, SZŐKE Igor, BURGET Lukáš, GRÉZL František, HANNEMANN Mirko and ČERNOCKÝ Jan. BUT ASR System for BABEL Surprise Evaluation 2014. In: Proceedings of 2014 Spoken Language Technology Workshop. South Lake Tahoe, Nevada: IEEE Signal Processing Society, 2014, pp. 501-506. ISBN 978-1-4799-7129-9.
Publication language:english
Original title:BUT ASR System for BABEL Surprise Evaluation 2014
Title (cs):BUT systém pro BABEL Surprise evaluaci 2014
Pages:501-506
Proceedings:Proceedings of 2014 Spoken Language Technology Workshop
Conference:Spoken Language Technology Workshop (SLT 2014)
Place:South Lake Tahoe, Nevada, US
Year:2014
ISBN:978-1-4799-7129-9
Publisher:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2014/karafiat_slt2014_0000501.pdf [PDF]
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Keywords
speech recognition, discriminative training, bottle-neck neural networks, deep neural networks, adaptation of neural networks, noisy speech
Annotation
This paper describes Brno University of Technology (BUT) ASR system for 2014 BABEL Surprise language evaluation (Tamil).
Abstract
The paper describes Brno University of Technology (BUT) ASR system for 2014 BABEL Surprise language evaluation (Tamil). While being largely based on our previous work, two original contributions were brought: (1) speaker-adapted bottle-neck neural network (BN) features were investigated as an input to DNN recognizer and semi-supervised training was found effective. (2) Adding of noise to training data outperformed a classical de-noising technique while dealing with noisy test data was found beneficial, and the performance of this approach was verified on a relatively clean training/test data setup from a different language. All results are reported on BABEL 2014 Tamil data.
BibTeX:
@INPROCEEDINGS{
   author = {Martin Karafi{\'{a}}t and Karel Vesel{\'{y}} and Igor
	Sz{\H{o}}ke and Luk{\'{a}}{\v{s}} Burget and Franti{\v{s}}ek
	Gr{\'{e}}zl and Mirko Hannemann and Jan {\v{C}}ernock{\'{y}}},
   title = {BUT ASR System for BABEL Surprise Evaluation 2014},
   pages = {501--506},
   booktitle = {Proceedings of 2014 Spoken Language Technology Workshop},
   year = {2014},
   location = {South Lake Tahoe, Nevada, US},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4799-7129-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10799}
}

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