PREDICTING, DIAGNOSING AND IMPROVING AUTOMATIC LANGUAGE IDENTIFICATION PERFORMANCE

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 51-54

  Zissman, Marc A ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

AUTOMATIC LANGUAGE IDENTIFICATION; CONFIDENCE SCORE; DIAGNOSTIC MEASURES; IDENTIFICATION ALGORITHMS; IDENTIFICATION ERROR RATE; IDENTIFICATION TECHNIQUES; LANGUAGE IDENTIFICATION; N-GRAM LANGUAGE MODELS; PERFORMANCE;

MODELING LANGUAGES;

EID: 85135186373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. M. Damashek. Gauging similarity with n-grams: language-independent categorization of text. Science, 267(5199):843-848, February 1995.
2. T. Lander et al. The OGI 22 language telephone speech corpus. In Proceedings of Eurospeech 95, volume 1, pages 817-820, September 1995.
3. Y. K. Muthusamy, R. A. Cole, and B. T. Oshika. The OGI multi-language telephone speech corpus. In ICSLP '92 Proceedings, volume 2, pages 895-898, October 1992.
4. Y. Yan and E. Barnard. Experiments for an approach to language identification with conversational telephone speech. In ICASSP '96 Proceedings, volume 2, pages 789-792, May 1996.
5. M. A. Zissman. Comparison of four approaches to automatic language identification of telephone speech. IEEE Trans. Speech and Audio Proc., SAP-4(1):31-44, January 1996.