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Slovak Automatic Dictation System for Judicial Domain

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8387))

Abstract

This paper describes the design, development and evaluation of the Slovak dictation system for the judicial domain. The speech is recorded using a close-talk microphone and the dictation system is used for on-line or off-line automatic transcription. The system provides an automatic dictation tool in Slovak for the employees of the Ministry of Justice of the Slovak Republic and all the courts in Slovakia. The system is designed for on-line dictation and off-line transcription of legal texts recorded in acoustical conditions of typical office. Details of the technical solution are given and the evaluation of different versions of the system is presented.

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References

  1. Lööf, J., Falavigna, D., Schlüter, R., Giuliani, D., Gretter, R., Ney, H.: Evaluation of automatic transcription systems for the judicial domain. In: Proceedings of the IEEE Workshop on Spoken Language Technology, San Francisco, CA, USA, pp. 194–199 (2010)

    Google Scholar 

  2. Darjaa, S., Cerňak, M., Beňuš, Š., Rusko, M., Sabo, R., Trnka, M.: Rule-based triphone mapping for acoustic modeling in automatic speech recognition. In: Habernal, I., Matoušek, V. (eds.) TSD 2011. LNCS (LNAI), vol. 6836, pp. 268–275. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  3. Barras, C., Geoffrois, E., Wu, Z., Liberman, M.: Transcriber: development and use of a tool for assisting speech corpora production. Speech Commun. Speech Annot. Corpus Tools 33(1–2), 5–22 (2001)

    MATH  Google Scholar 

  4. Moore, D., Dines, J., Doss, M.M., Vepa, J., Cheng, O., Hain, T.: Juicer: a weighted finite-state transducer speech decoder. In: Renals, S., Bengio, S., Fiscus, J.G. (eds.) MLMI 2006. LNCS, vol. 4299, pp. 285–296. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Lee, A., Kawahara, T., Shikano, K.: Julius – an open source real-time large vocabulary recognition engine. In: Proceedings of EUROSPEECH 2001, Aalborg, Denmark, pp. 1691–1694 (2001)

    Google Scholar 

  6. Lee, A., Kawahara, T.: Recent development of open-source speech recognition engine julius. In: Proceedings of the 2009 Asia-Pacific Signal and Information Processing Association, Annual Summit and Conference, APSIPA ASC 2009, Sapporo, Japan, pp. 131–137 (2009)

    Google Scholar 

  7. Darjaa, S., Cerňak, M., Trnka, M., Rusko, M., Sabo, R.: Effective triphone mapping for acoustic modeling in speech recognition. In: Proceedings of INTERSPEECH 2011, Florence, Italy, pp. 1717–1720 (2011)

    Google Scholar 

  8. Papco, M., Juhár, J.: Comparison of acoustic model adaptation methods and adaptation database selection approaches. J. Electr. Electron. Eng. 3(1), 147–150 (2010). ISSN: 1844–6035

    Google Scholar 

  9. Jokisch, O., Wagner, A., Sabo, R., Jackel, R., Cylwik, N., Rusko, M., Ronzhin, A., Hoffman, R.: Multilingual speech data collection for the assessment of pronunciation and prosody in a language learning system. In: Proceedings of the 13th International Conference Speech and Computer, SPECOM 2009, St. Petersburg, Russia, pp. 515–520 (2009)

    Google Scholar 

  10. Leggetter, C.J., Woodland, P.C.: Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models. Comput. Speech Lang. 9(2), 171–186 (1995)

    Article  Google Scholar 

  11. Papco, M., Juhár, J.: MLLR adaptation of speaker independent acoustic model to a new speaker in LVCSR. In: Proceedings of the 7th International Workshop on Digital Technologies, DT 2010, Žilina, Slovakia, pp. 1–4 (2010)

    Google Scholar 

  12. Hládek, D., Staš, J.: Text Mining and Processing for Corpora Creation in Slovak Language. J. Comput. Sci. Control Syst. 3(1), 65–68 (2010)

    Google Scholar 

  13. Juhár, J., Staš, J., Hládek, D.: Recent progress in development of language model for Slovak large vocabulary continuous speech recognition. In: New Technologies: Trends, Innovations and Research, InTech, Rijeka, Croatia, pp. 261–276 (2012)

    Google Scholar 

  14. Staš, J., Hládek, D., Juhár, J.: Morphologically motivated language modeling for Slovak continuous speech recognition. J. Electr. Electron. Eng. 5(1), 233–236 (2012)

    Google Scholar 

  15. Stolcke, A.: SRILM – an extensible language modeling toolkit. In: Proceedings of ICSLP 2002, Denver, Colorado, USA, pp. 901–904 (2002)

    Google Scholar 

  16. Lojka, M., Juhár, J.: Fast construction of speech recognition network for Slovak language. J. Electr. Electron. Eng. 3(1), 111–114 (2010)

    Google Scholar 

  17. Juhár, J., Lojka, M.: Fast construction of static speech recognition network with low memory requirement. In: Proceedings of the International Conference on Applied Electrical Engineering and Informatics, AEI 2011, Venice, Italy, pp. 163–166 (2011)

    Google Scholar 

  18. Alapetite, A., Boje Andersen, H., Hertzum, M.: Acceptance of speech recognition by physicians: a survey of expectations, experiences, and social influence. Int. J. Hum Comput Stud. 67(1), 36–49 (2009)

    Article  Google Scholar 

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Acknowledgements

The research of Technical university of Kosice team presented in this paper was supported by the Ministry of Education, Science, Research and Sport of the Slovak Republic under research project VEGA 1/0386/12 (20 %) and Research and Development Operational Program funded by the ERDF under the projects ITMS-26220220141 (40 %) & ITMS-26220220155 (40 %). The research of Slovak Academy of Sciences team presented in this paper was supported by the Ministry of Education, Science, Research and Sport of the Slovak Republic under research project VEGA 2/0202/11 (100 %).

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Correspondence to Milan Rusko .

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Rusko, M. et al. (2014). Slovak Automatic Dictation System for Judicial Domain. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-08958-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08957-7

  • Online ISBN: 978-3-319-08958-4

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