Result Details

Tuning phone decoders for language identification

SANTHOSH KUMAR, C.; LI, H.; TONG, R.; MATĚJKA, P.; BURGET, L.; ČERNOCKÝ, J. Tuning phone decoders for language identification. Proc. International Conference on Acoustics, Speech, and Signal Processing 2010. Proc. International Conference on Acoustics, Speech, and Signal Processing. Dallas: IEEE Signal Processing Society, 2010. no. 3, p. 5010-5013. ISBN: 978-1-4244-4296-6. ISSN: 1520-6149.
Type
conference paper
Language
English
Authors
Santhosh Kumar Chellappan Pillai
Li Haizhou
Tong Rong
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

This paper is on tuning phone decoders for language identification.  In this work, we explore how language identification accuracy of a phone decoder can be enhanced.

Keywords

Phonotactic language identification, hidden Markov models, neural networks, mutual information, multilingual

URL
Annotation

Phonotactic approach, phone recognition to be followed by language modeling, is one of the most popular approaches to language identification (LID). In this work, we explore how language identification accuracy of a phone decoder can be enhanced by varying acoustic resolution of the phone decoder, and subsequently how multiresolution versions of the same decoder can be integrated to improve the LID accuracy. We use mutual information to select the optimum set of phones for a specific acoustic resolution. Further, we propose strategies for building multilingual systems suitable for LID applications, and subsequently fine tune these systems to enhance the overall accuracy.

Published
2010
Pages
5010–5013
Journal
Proc. International Conference on Acoustics, Speech, and Signal Processing, vol. 2010, no. 3, ISSN 1520-6149
Proceedings
Proc. International Conference on Acoustics, Speech, and Signal Processing 2010
Conference
International Conference on Acoustics, Speech, and Signal Processing 2010
ISBN
978-1-4244-4296-6
Publisher
IEEE Signal Processing Society
Place
Dallas
BibTeX 
@inproceedings{BUT34848,
  author="Chellappan Pillai {Santhosh Kumar} and Haizhou {Li} and Rong {Tong} and Pavel {Matějka} and Lukáš {Burget} and Jan {Černocký}",
  title="Tuning phone decoders for language identification",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal Processing 2010",
  year="2010",
  journal="Proc. International Conference on Acoustics, Speech, and Signal Processing",
  volume="2010",
  number="3",
  pages="5010--5013",
  publisher="IEEE Signal Processing Society",
  address="Dallas",
  isbn="978-1-4244-4296-6",
  issn="1520-6149",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2010/kumar_icassp2010_5010.pdf"
}
Projects
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Speech Recognition under Real-World Conditions, GACR, Standardní projekty, GA102/08/0707, start: 2008-01-01, end: 2011-12-31, 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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