Application of automatic speech recognition to medical reports spoken in Polish

• Autorzy: Hnatkowska B. , Sas J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents an attempt to automatic speech recognition of Polish spoken medical texts. The attempt resulted in experimental system that can be used as a tool for practical applications. The system uses a typical recognition method based on Hidden Markov Model and domain-specific language model. Implemented software made it possible to conduct many experiments aimed on evaluation of the assumed approach usefulness. Obtained experiment results are presented and analyzed. The system architecture and the way in which it can be integrated with hospital information systems is also exposed.

Słowa kluczowe

EN

automatic speech recognition; hospital information systems; language models

PL

systemy informacji medycznej; modele językowe

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2008
• Tom: Vol. 12
• Strony: 223--229
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Hnatkowska B.

• Institute of Applied Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, POLAND

autor

Sas J.

Bibliografia

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• [2] KACALAK W, MAJEWSKI W., Automatic Recognition of Voice Commands in Natural Language Given by the Operator of the Technological Device Using Artificial Neural Network, In: Kurzynski M., Puchala E., Wozniak M., Zolnierek A., Proc. of 4th Int. Conf. on Computer Recognition Systems, CORES, 05, pp. 689-696, Springer Verlag, 2005.
• [3] JELINEK F., Statistical Methods for Speech recognition, The MIT Press, Cambridge, Massachusetts, 1997.
• [4] GRASSO M.A., The Long-Term Adoption of Speech Recognition in Medical Applications Proc of 16th IEEE Symposium on Computer-Based Medical Systems (CBMS'03), pp. 257-262, IEEE Press, 2003.
• [5] STEFFEN-BATOGOWA M., Automatization of Polish Texts Phonematic Translation (in Polish), PWN, Warsaw, 1975.
• [6] YOUNG S., EVERMAN G., et al., The HTK Book, Cambridge University Engineering Department, 2005.
• [7] JURAFSKY D., MARTIN J., Speech and Language Processing. An Introduction tp Natural Language Processing, Computational Linguistics and Speech Recognition, Prentice Hall, Upper Saddle-River, New Jersey, 2000.
• [8] ANTONIOL G., BRUGNARA F et al., Language Model Representations for Beam-Search Decoding, Proc. of Int. Conf. on Acoustics, Speech, and Signal Processing, ICASSP-95., pp. 588—591, Detroit, 1995.