序列標記與配對方法用於語音辨識錯誤偵測及修正

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

研究成果: 書貢獻/報告類型會議論文篇章

摘要

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.

貢獻的翻譯標題On the use of sequence labeling and matching methods for ASR error detection and correction
原文繁體中文
主出版物標題Proceedings of the 29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017
編輯Lun-Wei Ku, Yu Tsao, Chi-Chun Lee, Cheng-Zen Yang, Hung-Yi Lee, Richard T.-H. Tsai, Wen-Hsiang Lu, Shih-Hung Wu
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面354-369
頁數16
ISBN(電子)9789869576901
出版狀態已發佈 - 2017 十一月 1
對外發佈Yes
事件29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017 - Taipei, 臺灣
持續時間: 2017 十一月 272017 十一月 28

出版系列

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

會議

會議29th Conference on Computational Linguistics and Speech Processing, ROCLING 2017
國家臺灣
城市Taipei
期間2017/11/272017/11/28

Keywords

  • Error Correction
  • Error Detection
  • Out of Vocabulary Words
  • Recognition Errors
  • Speech Recognition

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

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