Regularized subspace n-gram model for phonotactic ivector extraction

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2013, Pages 74-78

  Soufifar, Mehdi ^a,b   Burget, Lukáš ^a   Plchot, Oldřich ^a   Cumani, Sandro ^a,c   Černockỳ, Jan Honza ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^c POLITECNICO DI TORINO   (Italy)

Author keywords

Language identification; Subspace modeling; Subspace multinomial model

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXTRACTION; LEARNING SYSTEMS;

DISCRIMINATIVE CLASSIFIERS; LANGUAGE IDENTIFICATION; LOW-DIMENSIONAL REPRESENTATION; MACHINE LEARNING TECHNIQUES; MEMORY REQUIREMENTS; MULTINOMIAL MODEL; STATE-OF-THE-ART SYSTEM; SUBSPACE MODELING;

COMPUTATIONAL LINGUISTICS;

EID: 84906234390     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. M. Zissman, "Comparison of four approaches to automatic language identification of telephone speech, " Speech and Audio Processing, IEEE Transactions on, vol. 4, no. 1, p. 31, 1996.
2. F. Richardson and W. Campbell, "Language recognition with discriminative keyword selection, " in Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on, 2008, pp. 4145-4148.
3. H. Li, B. Ma, and C.-H. Lee, "A vector space modeling approach to spoken language identification, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 15, pp. 271-284, 2007.
4. T. Mikolov, O. Plchot, O. Glembek, P. Matějka, L. Burget, and J. Černocký, "Pca-based feature extraction for phonotactic language recognition, " in Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop, 2010, pp. 251-255.
5. S. M. Siniscalchi, J. Reed, and T. Svendsen, "Universal attribute characterization of spoken languages for automatic spoken language recognition, " Computer Speech & Language Language, 2013.
6. M. Soufifar, M. Kockmann, L. Burget, O. Plchot, O. Glembek, and T. Svendsen, "ivector approach to phonotactic language recognition, " in Proceedings of Interspeech 2011, Florence, IT, 2011.
7. N. Dehak, P. Kenny, R. eda Dehak, P. Dumouchel, and P. Ouellet, "Front-end factor analysis for speaker verification, " IEEE Trans. Audio, Speech and Language Processing, pp. 1-23, Jul 2009.
8. D. Povey, L. Burget, M. Agarwal, P. Akyazi, A. Ghoshal, O. Glembek, K. N. Goel, M. Karafiát, A. Rastrow, R. Rose, P. Schwarz, and S. Thomas, "The subspace gaussian mixture model-a structured model for speech recognition, " Computer Speech & Language, vol. 25, no. 2, pp. 404-439, April 2011.
9. N. Brümmer, L. Burget, O. Glembek, V. Hubeika, Z. Jančík, M. Karafiát, P. Maťejka, T. Mikolov, O. Plchot, and A. Strasheim. But-agnitio system description for nist language recognition evaluation 2009. [Online]. Available: http://www.fit.vutbr.cz/ research/groups/speech/publi/2009/brummerBUTAGNITIOLRE09SYSD.pdf.
10. "The 2009 NIST Language Recognition Evaluation Plan (LRE09), " http://www.itl.nist.gov/iad/mig/tests/lre/2009/LRE09EvalPlanv6.pdf.
11. P. Schwarz, P. Matejka, and J. Cernocky, "Hierarchical structures of neural networks for phoneme recognition, " Proceedings of ICASSP 2006, Toulouse, pp. 325-328, Mar 2006.
12. M. Soufifar, S. Cumani, L. Burget, and J. Černocký, "Discriminative classifiers for phonotactic language recognition with ivectors, " in Proc. International Conference on Acoustics, Speech, and Signal Processing 2012. Kyoto, Japan: IEEE Signal Processing Society, 2012, pp. 4853-4857.
13. Z. Jančík, O. Plchot, N. Brummer, L. Burget, O. Glembek, V. Hubeika, M. Karafíat, P. Maťejka, T. Mikolov, A. Strasheim, and J. Černocký, "Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system, " in Proc. Odyssey 2010 - The Speaker and Language Recognition Workshop. Brno, CZ: International Speech Communication Association, 2010, pp. 215-221.