N-Gram Modeling Based on Recognized Phonemes in Automatic Language Identification

スポンサーリンク

概要

• 論文の詳細を見る

• Due to a rather low phoneme recognition rate for noisy telephone speech, there may arise large differences between N-gram built upon recognized phoneme labels and those built upon original attached phoneme labels, which in turn would affect the performances of N-gram based language identification methods. Use of N-gram built upon recognized phoneme labels from the training data was evaluated and was shown to be more effective for the language identification. The performance of mixed phoneme recognizer, in which both language-dependent and language-independent phonemes were included, was also evaluated. Results showed that the performance was better than that using parallel language-dependent phoneme recognizers in which bias existed due to different numbers of phonemes among languages.

• 社団法人電子情報通信学会の論文
• 1998-11-25

著者

• Hirose Keikichi

  The Authors Are With The Dept. Of Information And Communicaation Engineering The University Of Tokyo

• KWAN Hingkeung

  The authors are with the Dept. of Information and Communication Engineering, The University of Tokyo

• Kwan Hingkeung

  The Authors Are With The Dept. Of Information And Communication Engineering The University Of Tokyo

関連論文

• N-Gram Modeling Based on Recognized Phonemes in Automatic Language Identification

スポンサーリンク