序列標記與配對方法用於語音辨識錯誤偵測及修正

Translated title of the contribution: On the use of sequence labeling and matching methods for ASR error detection and correction

Chia Hua Wu, Chun I. Tsai, Hsiao Tsung Hung, Yu Chen Kao, Berlin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper sets out to study several important aspects pertaining to speech recognition errors, especially the out-of-vocabulary (OOV) word problem that is caused by using generic speech recognition systems for a specific application domain. To this end, a two-stage processing method, involving error detection and error correction, is proposed. For error detection, we explore and compare disparate sequence labeling methods to detect possible errors of different types. Further, in the error correction stage, an effective phone-level matching mechanism along with a domain-specific keyword list is exploited to correct errors of different types detected by the previous stage. Extensive experiments conducted on four application domains, including educational issues, industrial technology-related interviews and speech memos and meeting recordings, show that our proposed methods can boot the performance of a given general speech recognition system on the aforementioned application domains to some extent.

Translated title of the contributionOn the use of sequence labeling and matching methods for ASR error detection and correction
Original languageChinese
Title of host publicationProceedings of the 29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017
EditorsLun-Wei Ku, Yu Tsao, Chi-Chun Lee, Cheng-Zen Yang, Hung-Yi Lee, Richard T.-H. Tsai, Wen-Hsiang Lu, Shih-Hung Wu
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages354-369
Number of pages16
ISBN (Electronic)9789869576901
Publication statusPublished - 2017 Nov 1
Externally publishedYes
Event29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017 - Taipei, Taiwan
Duration: 2017 Nov 272017 Nov 28

Publication series

NameProceedings of the 29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017

Conference

Conference29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017
CountryTaiwan
CityTaipei
Period17/11/2717/11/28

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

Fingerprint Dive into the research topics of 'On the use of sequence labeling and matching methods for ASR error detection and correction'. Together they form a unique fingerprint.

  • Cite this

    Wu, C. H., Tsai, C. I., Hung, H. T., Kao, Y. C., & Chen, B. (2017). 序列標記與配對方法用於語音辨識錯誤偵測及修正. In L-W. Ku, Y. Tsao, C-C. Lee, C-Z. Yang, H-Y. Lee, R. T-H. Tsai, W-H. Lu, & S-H. Wu (Eds.), Proceedings of the 29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017 (pp. 354-369). (Proceedings of the 29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).