Publication detail

Multilingual Region-Dependent Transforms

KARAFIÁT, M. BURGET, L. GRÉZL, F. VESELÝ, K. ČERNOCKÝ, J.

Original Title

Multilingual Region-Dependent Transforms

Type

conference paper

Language

English

Original Abstract

This paper presented our further steps in the development of a feature extraction scheme easily transferable to a new language with severely limited training data.

Keywords

Automatic speech recognition, Region-Dependent Transforms, Multilingual speech recognition, Feedforward neural networks

Authors

KARAFIÁT, M.; BURGET, L.; GRÉZL, F.; VESELÝ, K.; ČERNOCKÝ, J.

Released

6. 4. 2016

Publisher

IEEE Signal Processing Society

Location

Shanghai

ISBN

978-1-4799-9988-0

Book

Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016

Pages from

5430

Pages to

5434

Pages count

5

URL

https://www.fit.vut.cz/research/publication/11146/

BibTex

@inproceedings{BUT130965,
  author="Martin {Karafiát} and Lukáš {Burget} and František {Grézl} and Karel {Veselý} and Jan {Černocký}",
  title="Multilingual  Region-Dependent Transforms",
  booktitle="Proceedings of the 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 2016",
  year="2016",
  pages="5430--5434",
  publisher="IEEE Signal Processing Society",
  address="Shanghai",
  doi="10.1109/ICASSP.2016.7472715",
  isbn="978-1-4799-9988-0",
  url="https://www.fit.vut.cz/research/publication/11146/"
}

Documents

karafiat_icassp2016_0005430.pdf