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Automatic recognition of voice commands in car

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
Jubilee Symposium Vibrations In Physical Systems (25 ; 15-19.05.2012 ; Będlewo koło Poznania ; Polska)
Języki publikacji
EN
Abstrakty
EN
The aim of this study was to evaluate the recognition process of driver’s voice commands spoken in car cabin using Sphinx-4 – the speech recognizer written entirely in Java language. Sphinx-4 recognizer was tested in real-time conditions in standalone car with engine on/off. The speech material consisted of sentences spoken directly to the microphone. Results showed significant differences in recognition accuracy obtained in different conditions (engine on/off).
Rocznik
Tom
Strony
285--288
Opis fizyczny
Bibliogr. 8 poz., 1 fot.
Twórcy
  • Kielce University of Technology
  • Kielce University of Technology
Bibliografia
  • 1. Y. Gong, Speech recognition in noisy environments: a survey, Speech Communication 16(3) (1995) 261-291.
  • 2. J.R. Bellegarda, Statistical techniques for robust asr: review and perspectives, Proceedings of EuroSpeech-97 1997; KN 33-36.
  • 3. C.R. Jankowski, J. Hoang-Doan, R.P. Lippmann, A comparison of signal processing front ends for automatic word recognition, IEEE Trans, on Speech and Audio Processing 3(4) (1995) 286-293.
  • 4. A. Torre, A.M. Peinado, A.J. Rubio, P. Garcia, Discriminative feature extraction for speech recognition in noise, Proceedings of EuroSpeech 1997, Rhodes.
  • 5. M.F.J. Gales, S.J. Young, HMM recognition in noise using parallel model combination, Proceedings of EuroSpeech-93, 1993.
  • 6. S.V. Vaseghi, B.P., Noise compensation methods for hidden Markov model speech recognition in adverse environments, IEEE Trans, on Speech and Audio Processing 5(1) (1997) 11-21.
  • 7. Evert Ph.J. de Ruiter, Lombard effect, speech communication and the design of large (public) spaces, Forum Acusticum 2011, Aalborg, Denmark.
  • 8. W. Walker, P. Lamere, P. Kwok, B. Raj, R. Singh, E. Gouvea, P. Wolf, J. Woelfel, Sphinx-4: A Flexible Open Source Framework for Speech Recognition, SMLI TR2004-0811, SUN MICROSYSTEMS INC, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-110cde85-c309-4ee4-8fc5-950e2e361573
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