Abstract
The paper describes the development of a large vocabulary continuous speech recogniser for Slovenian language with SNABI database. The problems with inflectional languages when speech recognition is performed are presented. The system is based on hidden Markov models. For acoustic modeling biphones were used whereas for language modeling bigrams and trigrams were used. To improve the recognition result and to enable fast operation of the recogniser, speaker adaptation is also used. The optimal system with the adapted acoustic model and bigram language model achieved word accuracy of 91.30% at near 10× real time. The unadapted system with the trigram language model achieved the word accuracy of 89.56%, but it was also slower than the optimal system. Its run time was 15.3× real time.
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Žgank, A., Ka7#x010D;ič, Z., Horvat, B. (2001). Large Vocabulary Continuous Speech Recognizer for Slovenian Language. In: Matoušek, V., Mautner, P., Mouček, R., Taušer, K. (eds) Text, Speech and Dialogue. TSD 2001. Lecture Notes in Computer Science(), vol 2166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44805-5_32
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DOI: https://doi.org/10.1007/3-540-44805-5_32
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