USE OF RECURRENT NETWORK FOR UNKNOWN LANGUAGE REJECTION IN LANGUAGE IDENTIFICATION SYSTEM

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

Volumn , Issue , 1997, Pages 63-66

  Kwan, HingKeung ^a   Hirose, Keikichi ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MULTILAYER NEURAL NETWORKS; MULTILAYERS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH COMMUNICATION;

IDENTIFICATION RATES; INPUT FEATURES; LANGUAGE IDENTIFICATION; LANGUAGE IDENTIFICATION SYSTEM; MULTILAYERS PERCEPTRONS; OVERALL RATE; PERCEPTRON NEURAL NETWORKS; RECURRENT NETWORKS; TARGET LANGUAGE; TEMPORAL INFORMATION;

RECURRENT NEURAL NETWORKS;

EID: 84882297596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Zissman, M.A., “Overview of Current Techniques for Automatic Language Identification of Speech,” Proc. IEEE ASR Workshop, pp.60-62, 1995.
2. Yan, Y., and Barnard, E., “Recent Improvements to a Phonotactic Approach to Language Identification,” Proc. Speech Research Symposium XV, pp.212-219, 1995.
3. Kwan, H., and Hirose, K., “Unknown Language Rejection in Language Identification System,” Proc. ICSLP96, pp.1776-1779, Vol.3, 1996.
4. Kadambe, S., and Hieronymus, J., “Spoken Language Identification with Phonological and Lexical Models,” Proc. Speech Research Symposium XV, pp.204-211, 1995.
5. Kwan, H., and Hirose, K., “Recognized Phoneme-based N-gram Modeling in Automatic Language Identification,” Proc. EUROSPEECH '95, pp.1367-1370, 1995.
6. Stuttgart Neural Network Simulator User Manual, Ver. 4.1, 1995.