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

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

資訊工程學系

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 27 → 2011 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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引用此

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Candidate generation for ASR output error correction using a Context-Dependent Syllable Cluster-based Confusion Matrix. / Liu, Chao Hong; Wu, Chung-Hsien; Sarwono, David; Wang, Jhing Fa.

於: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 01.12.2011, p. 1633-1636.

研究成果: Conference article › 同行評審

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