A hybrid approach to enhance task portability of acoustic models in Chinese speech recognition

Jin Song Zhang, Shu Wu Zhang, Yoshinori Sagisaka, Satoshi Nakamura

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper presents our approach to enhance the portability of acoustic models by mitigating the phonetic mismatch arising from a new testing task which is rather different from the training data. The approach is a hybrid one which combines knowledge-based context categorization to generate a context rich set of subword units, and data-driven-based acoustic model clustering on the level of context category. Compared with the conventional approach of only phonetic decision tree based model clustering and unseen model generation, the new approach improved greatly the desired subword coverage for the new testing domain, and achieved an error rate reduction by 10.8% for Chinese character accuracy in the recognition experiments. Together with the effect of the newly adopted basic units of 9 glottal stops, we achieved a total 23.5% error rate reduction in the testing compared to the baseline system.

本文言語English
ホスト出版物のタイトルEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
編集者Borge Lindberg, Henrik Benner, Paul Dalsgaard, Zheng-Hua Tan
出版社International Speech Communication Association
ページ1661-1664
ページ数4
ISBN(電子版)8790834100, 9788790834104
出版ステータスPublished - 2001
外部発表はい
イベント7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 - Aalborg, Denmark
継続期間: 2001 9 32001 9 7

出版物シリーズ

名前EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Other

Other7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001
国/地域Denmark
CityAalborg
Period01/9/301/9/7

ASJC Scopus subject areas

  • 通信
  • 言語学および言語
  • コンピュータ サイエンスの応用
  • ソフトウェア

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