Improved large vocabulary continuous chinese speech recognition by character-based consensus networks

  • Authors:
  • Yi-Sheng Fu;Yi-Cheng Pan;Lin-shan Lee

  • Affiliations:
  • Speech Lab, College of Electrical Engineering and Computer Science, National Taiwan University;Speech Lab, College of Electrical Engineering and Computer Science, National Taiwan University;Speech Lab, College of Electrical Engineering and Computer Science, National Taiwan University

  • Venue:
  • ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
  • Year:
  • 2006

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Abstract

Word-based consensus networks have been verified to be very useful in minimizing word error rates (WER) for large vocabulary continuous speech recognition for western languages. By considering the special structure of Chinese language, this paper points out that character-based rather then word-based consensus networks should work better for Chinese language. This was verified by extensive experimental results also reported in the paper.