Abstract
This paper describes a LVCSR system for automatic online subtitling (closed captioning) of TV transmissions of the Czech Parliament meetings. The recognition system is based on Hidden Markov Models, lexical trees and bigram language model. The acoustic model is trained on 40 hours of parliament speech and the language model on more than 10M tokens of parliament speech trancriptions. The first part of the article is focused on text normalization and class-based language model preparation. The second part describes the recognition network and its decoding with respect to real-time operation demands using up to 100k vocabulary. The third part outlines the application framework allowing generation and displaying of subtitles for any audio/video source. Finally, experimental results obtained on parliament speeches with recognition accuracy varying from 80 to 95 % (according to the discussed topic) are reported and discussed.
Support for this work was provided by the Academy of Science of the Czech Republic, project no. 1QS101470516.
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References
Kanis, J., Zelinka, J., Müller, L.: Automatic numbers normalization in inflectional languages. In: 10th International Conference SPEECH and COMPUTER (SPECOM 2005), Patra, Greece (2005)
Psutka, J., Müller, L., Psutka, J.V.: Comparison of MFCC and PLP Parameterization in the Speaker Independent Continuous Speech Recognition Task. In: 7th European Conference on Speech Communication and Technology (EUROSPEECH 2001), Aalborg, Denmark (2001)
Hermansky, H.: Perceptual linear predictive (PLP) analysis of speech. J. Acoustic. Soc. Am. 87, 1738–1752 (1990)
Young, S.J., Russell, N.H.: Token Passing: A Simple Conceptual Model for Continuous Speech Recognition Systems. Cambridge University Engineering Dept., Technical Report No. 38 (1989)
Young, S.J., et al.: The HTK Book. Entropic Inc. (1999)
Linetsky, M.: Programming Microsoft DirectShow. Wordware Publishing (2001)
Pesce, M.D.: Programming Microsoft DirectShow for Digital Video and Television. Microsoft Press, Washington (2003)
Stolcke, A.: SRILM - An Extensible Language Modeling Toolkit. In: International Conference on Spoken Language Processing (ICSLP 2002), Denver, USA (2002)
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© 2006 Springer-Verlag Berlin Heidelberg
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Pražák, A., Psutka, J.V., Hoidekr, J., Kanis, J., Müller, L., Psutka, J. (2006). Automatic Online Subtitling of the Czech Parliament Meetings. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_63
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DOI: https://doi.org/10.1007/11846406_63
Publisher Name: Springer, Berlin, Heidelberg
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