Skip to main content
Journal cover image

Using SVM as back-end classifier for language identification

Publication ,  Journal Article
Suo, H; Li, M; Lu, P; Yan, Y
Published in: Eurasip Journal on Audio, Speech, and Music Processing
December 12, 2008

Robust automatic language identification (LID) is a task of identifying the language from a short utterance spoken by an unknown speaker. One of the mainstream approaches named parallel phone recognition language modeling (PPRLM) has achieved a very good performance. The log-likelihood radio (LLR) algorithm has been proposed recently to normalize posteriori probabilities which are the outputs of back-end classifiers in PPRLM systems. Support vector machine (SVM) with radial basis function (RBF) kernel is adopted as the back-end classifier. But for the conventional SVM classifier, the output is not probability. We use a pair-wise posterior probability estimation (PPPE) algorithm to calibrate the output of each classifier. The proposed approaches are evaluated on the 2005 National Institute of Standards and Technology (NIST). Language recognition evaluation databases and experiments show that the systems described in this paper produce comparable results to the existing arts.

Duke Scholars

Published In

Eurasip Journal on Audio, Speech, and Music Processing

DOI

EISSN

1687-4722

ISSN

1687-4714

Publication Date

December 12, 2008

Volume

2008

Related Subject Headings

  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 4006 Communications engineering
  • 2004 Linguistics
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Suo, H., Li, M., Lu, P., & Yan, Y. (2008). Using SVM as back-end classifier for language identification. Eurasip Journal on Audio, Speech, and Music Processing, 2008. https://doi.org/10.1155/2008/674859
Suo, H., M. Li, P. Lu, and Y. Yan. “Using SVM as back-end classifier for language identification.” Eurasip Journal on Audio, Speech, and Music Processing 2008 (December 12, 2008). https://doi.org/10.1155/2008/674859.
Suo H, Li M, Lu P, Yan Y. Using SVM as back-end classifier for language identification. Eurasip Journal on Audio, Speech, and Music Processing. 2008 Dec 12;2008.
Suo, H., et al. “Using SVM as back-end classifier for language identification.” Eurasip Journal on Audio, Speech, and Music Processing, vol. 2008, Dec. 2008. Scopus, doi:10.1155/2008/674859.
Suo H, Li M, Lu P, Yan Y. Using SVM as back-end classifier for language identification. Eurasip Journal on Audio, Speech, and Music Processing. 2008 Dec 12;2008.
Journal cover image

Published In

Eurasip Journal on Audio, Speech, and Music Processing

DOI

EISSN

1687-4722

ISSN

1687-4714

Publication Date

December 12, 2008

Volume

2008

Related Subject Headings

  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 4006 Communications engineering
  • 2004 Linguistics
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering