A usage of the syllable unit based on morphological statistics in Korean large vocabulary continuous speech recognition system

Author:

Ri Hyok-Chol

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference23 articles.

1. Adda-Decker, M. (2003). A corpus-based decompounding algorithm for German lexical modeling in LVCSR. Proceedings European Conference on Speech Communication and Technology (pp. 257–260). Geneva, Switzerland.

2. Bisani, M., & Ney, H. (2005). Open vocabulary speech recognition with flat hybrid models. Interspeech (pp. 725–728), Lisbon, Portugal.

3. Byrne, W., Hajič, J., Ircing, P., Krbec, P., & Psutka, J. (2000). Morpheme based language models for speech recognition of Czech. Text, Speech and Dialogue, ser. Lecture Notes in Computer Science, 1902 (pp. 139–162). Berlin: Springer.

4. Creutz, M. (2006). Induction of the morphology of natural language: Unsupervised morpheme segmentation with application to automatic speech recognition. Ph.D. dissertation, Helsinki University of Technology, Finland, 2006.

5. Creutz, M., Hirsimäki, T., Kurimo, M., Puurula, A., Pylkkönen, J., Siivola, V., et al. (2007). Morph-based speech recognition and modeling of out of- vocabulary words across languages. ACM Transactions on Speech and Language Processing,5(1), 3.

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