Language identification using modified MLKSFM for pre-classification with novel front-end features

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 4245-4248

  Wang, Liang ^a,b   Ambikairajah, Eliathamby ^a,b   Choi, Eric H C ^a,b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

Empirical mode decomposition; Language identification; Modified group delay function; Modified MLKSFM; Pre classification

Indexed keywords

ACOUSTICS; CONFORMAL MAPPING; LINGUISTICS; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION; SPEECH;

EMPIRICAL MODE DECOMPOSITION; LANGUAGE IDENTIFICATION; MODIFIED GROUP DELAY FUNCTION; MODIFIED MLKSFM; PRE-CLASSIFICATION;

SPEECH RECOGNITION;

EID: 51449093147     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518592     Document Type: Conference Paper

References (14)

1. M. Zissman, "Comparison of four approaches to automatic language identification of telephone speech," IEEE Trans. Speech and Audio Processing, vol. 4, no. 1, pp. 31-44, 1996.
2. E. Singer, P. A. Torres-Carrasquillo, T. P. Gleason, W. M. Campbell and D. A. Reynolds, "Acoustic, phonetic and discriminative approaches to automatic language recognition," in Proc. Eurospeech, pp. 1345-1348, 2003.
3. H. Li, B. Ma and C.-H. Lee, "A vector space modeling approach to spoken language identification," IEEE Trans. Speech and Audio Processing, vol. 15, no. 1, pp. 271-284, 2007.
4. X. D. Huang, A. Alex and H. W. Hon, "Spoken language processing: a guide to theory, algorithm and system development," Prentice Hall, 2001.
5. N. E. Huang, Z. Shen, S. R. Long, M. L. Wu, H. H. Shin, Q. Zheng, N. C. Yen, C. C. Tung and H. H. Liu, "The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis," in Proc. Roy. Soc. London A, vol. 454, pp. 903-995, 1998.
6. N. E. Huang, M. L. Wu, W. Qu and S. R. Long, "Applications of Hilbert-Huang transform to non-stationary financial time series analysis," in Appl. Stochastic Models Bus. Ind., vol. 19, pp. 245-268, 2003.
7. S. Q. Tan, J. W. Huang, Z. H. Yang and Y. Q. Shi, "Steganalysis of JPEG2000 lazy-mode steganography using the Hilbert-Huang transform, " in Proc. IEEE ICIP, pp. 101-104, 2006.
8. W. Wang, X. Y. Li and R. B. Zhang, "Speech detection based on Hilbert-Huang transform," in Proc. IEEE IMSCCS, vol. 1, pp. 290-293, 2006.
9. L. Wang, E. Ambikairajah and E. H.C. Choi, "Automatic language recognition with tonal and non-tonal language preclassification," in Proc. Eusipco, pp. 2375-2379, 2007.
10. L. Wang, E. Ambikairajah and E. H.C. Choi, "Multi-layer Kohonen self-organizing feature map for language identification," in Proc. Interspeech, pp. 174-177, 2007.
11. L. Wang, E. Ambikairajah and E. H.C. Choi, "A comparisonal study of the multi-layer Kohonen self-organizing feature maps for spoken language identification," in Proc. IEEE ASRU, accepted and to appear.
12. J. Koh, M. Suk and S. M. Bhandarkar, "A multi-layer Kohonen's self-organizing feature map for range image segmentation" in Proc. IEEE ICNN, vol. 3, pp. 1270-1275, 1993.
13. A. Tomczyk, P. S. Szczepaniak and B. Lis, "Generalized multi-layer Kohonen network and its application to texture recognition," in Proc. ICAISC, LNCS, vol. 3070, pp. 760-767, 2004.
14. Linguistic Data Consortium. http://www.ldc.upeen.edu