Abstract
In this paper we propose a new type of syllable-based unit for recognition and language model to improve recognition rate for Korean phones, syllables and characters. We propose ‘combined’ units for which both Korean characters and syllable units realized in speech are taken into consideration. We can obtain character, syllable and phone sequences directly from the recognition results by using proposed units. To test the performance of the proposed approach we perform two types of experiments. First, we perform language modeling for phones, characters, syllables and propose combined units based on the same text corpus, and we test the performance for each unit. Second, we perform a vector space model based retrieval experiment by using the proposed combined units.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kim, BW., Um, Y., Lee, YJ. (2006). Syllable-Based Recognition Unit to Reduce Error Rate for Korean Phones, Syllables and Characters. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_42
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DOI: https://doi.org/10.1007/11846406_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39090-9
Online ISBN: 978-3-540-39091-6
eBook Packages: Computer ScienceComputer Science (R0)