Abstract
This paper describes a real-time speech recognition system for Ukrainian designed basically for text dictation purpose targeting moderate computation requirements. The research is focused on language model parameter estimation. As a Slavonic language Ukrainian is highly inflective and tolerates relatively free word order. These features motivate transition from word- to class-based statistical language model. According to our experimental research, class-based LMs occupy less space and potentially outperform a 3-gram word-based model. We also describe several tools developed to visualize HMMs, to predict word stress, and to manage cluster-based language modeling.
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References
Vintsiuk, T., Sazhok, M.: Multi-Level Multi-Decision Models for ASR. In: Proc. SpeCom 2005, Patras, pp. 69–76 (2005)
Gales, M., Young, S.: The Application of Hidden Markov Models in Speech Recognition. Foundations and Trends in Signal Processing 1(3), 195–304 (2007)
Robeiko, V., Sazhok, M.: Real-time spontaneous Ukrainian speech recognition system based on word acoustic composite models. In: Proc. UkrObraz 2012, Kyiv, pp. 77–81 (2012)
Lee, A., Kawahara, T.: Recent Development of Open-Source Speech Recognition Engine Julius. In: APSIPA ASC, pp. 131–137 (2009)
Young, S.J., et al.: The HTK Book Version 3.4. Cambridge University (2006)
Pylypenko, V., Robeiko, V., Sazhok, M., Vasylieva, N., Radoutsky, O.: Ukrainian Broadcast Speech Corpus Development. In: Proc. Specom 2011, Kazan, RF, pp. 244–247 (2011)
Robeiko, V., Sazhok, M.: Bidirectional Text-To-Pronunciation Conversion with Word Stress Prediction for Ukrainian. In: Proc. UkrObraz 2012, Kyiv, pp. 43–46 (2012)
Hsu, B.-J(P.), Glass, J.: Iterative Language Model Estimation: Efficient Data Structure and Algorithms. In: Proc. Interspeech (2008)
Martin, S., Liermann, J., Ney, H.: Algorithms for bigram and trigram word clustering. In: Proc. Eurospeech, Madrid, vol. 2, pp. 1253–1256 (1995)
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Sazhok, M., Robeiko, V. (2013). Language Model Comparison for Ukrainian Real-Time Speech Recognition System. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_28
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DOI: https://doi.org/10.1007/978-3-319-01931-4_28
Publisher Name: Springer, Cham
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