Detail publikace

BUT Neural Network Features for Spontaneous Vietnamese in BABEL

KARAFIÁT, M. GRÉZL, F. HANNEMANN, M. ČERNOCKÝ, J.

Originální název

BUT Neural Network Features for Spontaneous Vietnamese in BABEL

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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

Klíčová slova

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

Autoři

KARAFIÁT, M.; GRÉZL, F.; HANNEMANN, M.; ČERNOCKÝ, J.

Rok RIV

2014

Vydáno

4. 5. 2014

Nakladatel

IEEE Signal Processing Society

Místo

Florencie

ISBN

978-1-4799-2892-7

Kniha

Proceedings of ICASSP 2014

Strany od

5659

Strany do

5663

Strany počet

5

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2014/karafiat_icassp2014_p5659.pdf

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"
}