Abstract
This paper deals with cross-lingual adaptation of a Large Vocabulary Continuous Speech Recognition (LVCSR) system between two similar Slavic languages - from Czech to Slovak. The proposed adaptation scheme is performed in two consecutive phases and it is focused on acoustic modeling and phoneme and pronunciation mapping. It also utilizes language similarities between the source and the target language and speaker adaptation approaches. Presented experimental results show that the proposed cross-lingual adaptation approach yields to reduction of Word Error Rate (WER) from 12.8 % to 8.1 % in the voice dictation task. © 2011 Springer-Verlag.
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CITATION STYLE
Cerva, P., Nouza, J., & Silovsky, J. (2011). Study on cross-lingual adaptation of a Czech LVCSR System towards Slovak. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6800 LNCS, pp. 81–87). https://doi.org/10.1007/978-3-642-25775-9_7
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