Candidate generation for ASR output error correction using a Context-Dependent Syllable Cluster-based Confusion Matrix

Chao Hong Liu, Chung-Hsien Wu, David Sarwono, Jhing Fa Wang

研究成果: Conference article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Error correction techniques have been proposed in the applications of language learning and spoken dialogue systems for spoken language understanding. These techniques include two consecutive stages: the generation of correction candidates and the selection of correction candidates. In this study, a Context-Dependent Syllable Cluster (CD-SC)-based Confusion Matrix is proposed for the generation of correction candidates. A Contextual Fitness Score, measuring the sequential relationship to the neighbors of the candidate, is proposed for corrected syllable sequence selection. Finally, the n-gram language model is used to determine the final word sequence output. Experiments show that the proposed method improved from 0.742 to 0.771 in terms of BLEU score as compared to the conventional speech recognition mechanism.

原文English
頁(從 - 到)1633-1636
頁數4
期刊Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
出版狀態Published - 2011 十二月 1
事件12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 - Florence, Italy
持續時間: 2011 八月 272011 八月 31

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modelling and Simulation

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