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A Mongolian Speech Recognition System Based on HMM

  • Guanglai Gao
  • Biligetu
  • Nabuqing
  • Shuwu Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

Speaker independent large vocabulary continuous speech recognition technique has always been the research focus in the domain of artificial intelligence and pattern recognition. A Mongolian large vocabulary continuous speech recognition system is introduced in this paper. Mongolian is belonged to Altai phylum, and similar with the Western language. According to the characteristics of Mongolian pronunciation, we build the Mongolian acoustic model. We collected a large size corpus to construct the language model. HTK ( HMM Toolkit ) has been used to construct the system. The experimental results indicated that the design of models related to the Mongolian speech recognition is rational and correct.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guanglai Gao
    • 1
  • Biligetu
    • 1
  • Nabuqing
    • 1
  • Shuwu Zhang
    • 2
  1. 1.College of Computer Science Inner Mongolia University, 010021 HohhotChina
  2. 2.Institute of Automation Chinese Academy of Sciences, 100080 BeijingChina

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