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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© 2006 Springer-Verlag Berlin Heidelberg
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Gao, G., Biligetu, Nabuqing, Zhang, S. (2006). A Mongolian Speech Recognition System Based on HMM. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_84
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DOI: https://doi.org/10.1007/978-3-540-37275-2_84
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-37275-2
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