Abstract
This article describes the problems encountered during the design and implementation of automatic speech recognition systems for the Hungarian language, proposes practical solutions for treating them, and evaluates their practicality using publicly available databases. The article introduces a rule-based system for modeling the phonological rules inside of words as well as at word boundaries and the notion of stochastic morphological analysis for the treatment of the vocabulary size problem. Finally, the implementation of the proposed methods by the FlexiVoice speech engine is described, and the results of the experimental evaluation on isolated and connected digit recognition, on a 2000-word recognition of Hungarian city names, and on inflected word recognition tasks are summarized.
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Szarvas, M., Fegyó, T., Mihajlik, P. et al. Automatic Recognition of Hungarian: Theory And Practice. International Journal of Speech Technology 3, 237–251 (2000). https://doi.org/10.1023/A:1026515132762
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DOI: https://doi.org/10.1023/A:1026515132762