Result Details

BUT ASR System for BABEL Surprise Evaluation 2014

KARAFIÁT, M.; VESELÝ, K.; SZŐKE, I.; BURGET, L.; GRÉZL, F.; HANNEMANN, M.; ČERNOCKÝ, J. 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. p. 501-506. ISBN: 978-1-4799-7129-9.
Type
conference paper
Language
English
Authors
Karafiát Martin, Ing., Ph.D., DCGM (FIT)
Veselý Karel, Ing., Ph.D., DCGM (FIT)
Szőke Igor, Ing., Ph.D., DCGM (FIT)
Burget Lukáš, doc. 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

This paper describes Brno University of Technology (BUT)ASR system for 2014 BABEL Surprise language evaluation(Tamil).

Keywords

speech recognition, discriminative training,bottle-neck neural networks, deep neural networks, adaptationof neural networks, noisy speech

URL
Annotation

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.

Published
2014
Pages
501–506
Proceedings
Proceedings of 2014 Spoken Language Technology Workshop
Conference
Spoken Language Technology Workshop (SLT 2014)
ISBN
978-1-4799-7129-9
Publisher
IEEE Signal Processing Society
Place
South Lake Tahoe, Nevada
DOI
10.1109/SLT.2014.7078625
UT WoS
000380375100085
EID Scopus
2-s2.0-84983133938
BibTeX 
@inproceedings{BUT111503,
  author="Martin {Karafiát} and Karel {Veselý} and Igor {Szőke} and Lukáš {Burget} and František {Grézl} and Mirko {Hannemann} and Jan {Černocký}",
  title="BUT ASR System for BABEL Surprise Evaluation 2014",
  booktitle="Proceedings of 2014 Spoken Language Technology Workshop",
  year="2014",
  pages="501--506",
  publisher="IEEE Signal Processing Society",
  address="South Lake Tahoe, Nevada",
  doi="10.1109/SLT.2014.7078625",
  isbn="978-1-4799-7129-9",
  url="https://www.fit.vut.cz/research/publication/10799/"
}
Files
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)
Back to top