EUROSPEECH '95
Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Recognized Phoneme-Based N-Gram Modeling in Automatic Language Identification

HingKeung Kwan, Keikichi Hirose

Dept. of Information and Communication Engineering, University of Tokyo, Tokyo, Japan

Since it is by no means easy to achieve good phoneme recognition rate for noisy telephone speech, N-gram built upon recognized phoneme labels was evaluated and was found to be more effective than the N-gram built upon original attached phoneme labels for language identification. The performance of mixed phoneme recognizer, in which both language-dependent and language-independent phonemes were included, was also evaluated. Results showed the performance was better than that using parallel language-dependent phoneme recognizers in which bias existed due to different numbers of phonemes among languages.

Full Paper

Bibliographic reference.  Kwan, HingKeung / Hirose, Keikichi (1995): "Recognized phoneme-based N-gram modeling in automatic language identification", In EUROSPEECH-1995, 1367-1370.