Vector-based spoken language recognition using output coding

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

Volumn 1, Issue , 2006, Pages 429-432

  Li, Haizhou ^a   Ma, Bin ^a   Tong, Rong ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Multiclass classification; Spoken language recognition; Vector space model

Indexed keywords

CODES (SYMBOLS); SEMANTICS; SIGNAL ENCODING; VECTORS;

APPROXIMATION APPROACH; DECISION HYPERPLANES; DIMENSIONALITY REDUCTION; LANGUAGE RECOGNITION; LATENT SEMANTIC INDEXING; MULTI-CLASS CLASSIFICATION; SPOKEN LANGUAGE RECOGNITION; VECTOR SPACE MODELS;

VECTOR SPACES;

EID: 44949236416     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Li, H. and Ma, B., "A phonotactic language model for spoken language identification," Proc. ACL, 2005.
2. Zissman, M. A., "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.
3. Kim, H., Howland, P. and Park, H., "Dimension reduction in text classification with support vector machines", Journal of Machine Learning Research, 6, 2005, pp.37-53.
4. Duda, R. O., Hart, P. E., Stork, D. G., Pattern Classification, John-Wiley & Sons, 2001.
5. Joachims, T., "Text categorization with support vector machines: Learning with many relevant features", Proc of European Conference on Machine Learning, Berlin, 1998, pp. 13 7-142.
6. Li, H., Ma, B. and Lee, C.-H., "A Vector Space Modeling Approach to Spoken Language Identification", to appear in IEEE Trans. on Audio, Speech and Language Processing, Vol. 15, 2007.
7. Crammer, K., and Singer, Y., "Improved Output Coding for Classification Using Continuous Relaxation," Proc. NIPS, 2000.
8. Gauvain,J.L.,Messaoudi, A., Schwenk, H., "Language recognition using phone lattices", Proc. ICSLP, 2004.