Result Details

BUT Neural Network Features for Spontaneous Vietnamese in BABEL

KARAFIÁT, M.; GRÉZL, F.; HANNEMANN, M.; ČERNOCKÝ, J. BUT Neural Network Features for Spontaneous Vietnamese in BABEL. In Proceedings of ICASSP 2014. Florencie: IEEE Signal Processing Society, 2014. p. 5659-5663. ISBN: 978-1-4799-2892-7.
Type
conference paper
Language
English
Authors
Karafiát Martin, Ing., Ph.D., DCGM (FIT)
Grézl František, Ing., Ph.D., DCGM (FIT)
Hannemann Mirko, Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

The paper deals with multiple facets of NN feature extraction training.Not surprisingly, we found that data preparation is crucial for thesuccess of NN training. In case we dispose of data from other (wellrepresented) languages, we should go for it as we have shown thatmultilingual fine-tuning outperforms unsupervised training.

Keywords

speech recognition, discriminative training, bottleneckneural networks, adaptation of neural networks, regiondependent transforms

URL
Annotation

This paper presents our work on speech recognition of Vietnamese spontaneous telephone conversations. It focuses on feature extraction by Stacked Bottle-Neck neural networks: several improvements such as semi-supervised training on untranscribed data, increasing of precision of state targets, and CMLLR adaptations were investigated. We have also tested speaker adaptive training of this architecture and significant gain was found. The results are reported on BABEL Vietnamese data.

Published
2014
Pages
5659–5663
Proceedings
Proceedings of ICASSP 2014
Conference
The 39th International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
ISBN
978-1-4799-2892-7
Publisher
IEEE Signal Processing Society
Place
Florencie
DOI
10.1109/ICASSP.2014.6854679
UT WoS
000343655305131
EID Scopus
2-s2.0-84905265981
BibTeX 
@inproceedings{BUT111541,
  author="Martin {Karafiát} and František {Grézl} and Mirko {Hannemann} and Jan {Černocký}",
  title="BUT Neural Network Features for Spontaneous Vietnamese in BABEL",
  booktitle="Proceedings of ICASSP 2014",
  year="2014",
  pages="5659--5663",
  publisher="IEEE Signal Processing Society",
  address="Florencie",
  doi="10.1109/ICASSP.2014.6854679",
  isbn="978-1-4799-2892-7",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2014/karafiat_icassp2014_p5659.pdf"
}
Projects
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
IARPA Building Speech Recognition for Keyword Search in a New Language in a Week with Limited Training Data (BABEL) - Babelon, BBN, start: 2012-03-05, end: 2016-11-04, completed
Speech recognition for low-resource languages, GACR, Postdoktorandské granty, GPP202/12/P604, start: 2012-01-01, end: 2014-12-31, completed
Technologies of speech processing for efficient human-machine communication, TAČR, Program aplikovaného výzkumu a experimentálního vývoje ALFA, TA01011328, start: 2011-01-01, end: 2014-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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