Abstract
This paper describes evaluation and recent advances in application of speech dictation system for the judicial domain. The dictation system incorporates Slovak speech recognition and uses a plugin for widely used office suite. It was introduced recently after preliminary user evaluation in the Slovak courts. The system was improved significantly using new acoustic databases for evaluation and acoustic modeling when compared to the previous version. The speaker adaptation procedure and gender dependent models significantly improve the overall accuracy below 5 % WER for domain specific test set. The language resources were extended and the language modeling techniques were improved as it is described in the paper. An end-user questionnaire about the user interface was evaluated and new functionalities were introduced. According to the available feedback, it can be concluded that the dictation system is able to speed up the court proceedings significantly for each user willing to cooperate with new technologies.
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Acknowledgements
The research of Technical university of Kosice team presented in this paper was partially supported by the Ministry of Education, Science, Research and Sport of the Slovak Republic under project VEGA 1/0075/15 (50 %) and partially by the Research and Development Operational Programme funded by the ERDF project implementation: University Science Park TECHNICOM for Innovation Applications Supported by Knowledge Technology, ITMS project # 26220220182 (50 %). 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 2/0197/15 (100 %).
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Rusko, M. et al. (2016). Advances in the Slovak Judicial Domain Dictation System. In: Vetulani, Z., Uszkoreit, H., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science(), vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_5
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