Abstract
In this paper we propose different approaches to the LM integrated in a Continuous Speech Recognition system. All of them are based on classes that are made up of phrases or segments of words. The proposed models were evaluated in terms of Word Error Rate over a spontaneous dialogue corpus in Spanish. The experiments carried out show that better performance of the CSR system can be achieved introducing segments of words into a class-based LM.
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Justo, R., Inés Torres, M. (2007). Different Approaches to Class-Based Language Models Using Word Segments. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_53
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DOI: https://doi.org/10.1007/978-3-540-75175-5_53
Publisher Name: Springer, Berlin, Heidelberg
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