DOI: https://doi.org/10.20535/2617-0965.2019.2.3.163448

Суб’єктивне оцінювання розбірливості зашумленої мови в лекційному приміщенні

Oleksii Olehovych Andriichenko, Oleksandr Ihorovych Denysenko

Анотація


При розв’язанні задач проектування споруд та звукоізоляції, кімнату можна розглядати як особливий фільтр, котрий впливає на розбірливість мови двома способами. Перший – пізня реверберація, що виконує функцію шумової завади; другий – ранні відбиття, навпаки, збільшують розбірливість. Тип прослуховування також має значення – бінауральний, на відміну від монаурального, збільшує розбірливість мови, спотвореної шумом та реверберацією. У даній роботі проведено суб'єктивну оцінку впливу характеристик лекційного залу на розбірливість зашумленого мовлення під час бінаурального прослуховування. При цьому однією із задач було спростити експеримент так, щоб учасники могли виконати його самостійно, без використання коштовної техніки.

Ключові слова


розбірливість мови; суб’єктивна оцінка; бінауральна імпульсна характеристика; білий шум; пізня реверберація; ранні відбиття

Повний текст:

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Посилання


J. Blauert Ed., The technology of binaural listening. Springer, Berlin–Heidelberg–New York, 2013.

J. Lochner and J. Burger, “The influence of reflections on auditorium acoustics,” Journal of Sound and Vibration, No. 1, pp. 426-454, 1964.

G. Soulodre, N. Popplewell, and J. Bradley, “Combined effects of early reflections and background noise on speech intelligibility,” Journal of Sound and Vibration, vol. 135, No.1, pp. 123-133, 1989.

J. Bradley, “Predictors of speech intelligibility in rooms,” J. Acoust. Soc. Am., vol 80, pp. 837–845, 1986.

J. Bradley, “Speech intelligibility studies in classrooms,” J. Acoust. Soc. Am., vol. 80, pp. 846–854, 1986.

J. Bradley, R. Reich, and S. Norcross, “On the combined effects of signal-to-noise ratio and room acoustics on speech intelligibility,” J. Acoust. Soc. Am., vol. 106 (4), Pt. 1, pp. 1820-1828, October 1999.

H Sato and J. Bradley, “Evaluation of acoustical conditions for speech communication in working elementary school classrooms,” J. Acoust. Soc. Am. 106 (4), Pt. 1, pp. 2064–2077, 2004.

J Bradley and H. Sato, “Speech intelligibility test results for grades 1, 3 and 6 children in real classrooms,” Proc. of ICA, Kyoto, 2004.

W. Yang and J. Bradley, “Effects of room acoustics on the intelligibility of speech in classrooms for young children,” J. Acoust. Soc. Am., vol. 125 (2), pp. 922–933, 2009.

A. Prodeus, K. Bukhta, P. Morozko, O. Serhiienko, I. Kotvytskyi, O. Dvornyk, “Automated Subjective Assessment of Speech Intelligibility in Various Listening Modes,” Microsystems, Electronics and Acoustics, vol. 23, no. 3, pp.49-57, 2018.

J. Bradley, H. Sato, and M. Picard, “On the importance of early reflections for speech in rooms,” J. Acoust. Soc. Am., vol. 113, no. 6, pp. 3233-3244, June 2003.

I. Arweiler, J. Buchholz, and T. Dau, “Speech intelligibility enhancement by early reflections,” Proc. of 2nd Int. Symposium on Auditory and Audiological Research (ISAAR 2009), Elsinore, Denmark, August 2009.

S. Naida, O. Pavlenko, “Coupled Circuits Model in Objective Audiometry,” Proc. of the 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), pp. 281-286, April 24-26, Kyiv, Ukraine, April 2018.

S. Naida, O. Pavlenko, “Newborn Hearing Screening Based on the Formula for the Middle Ear Norm Parameter,” Proc. of the 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), pp. 287-291, April 24-26, Kyiv, Ukraine, April 2018.

J. Benesty, Y. Huang, and J. Chen, Wiener and Adaptive Filters. In Springer Handbook of Speech Processing, J. Benesty, M. Sondhi, and Y. Huang, Eds. Springer-Verlag Berlin Heidelberg, 2008, pp. 103-120.

E. Habets, N. Gaubitch, and P. Naylor, “Temporal selective dereverberation of noisy speech using one microphone,” Proc. of 2008 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 4577-4580, March-April 2008.

A. Prodeus, K. Bukhta, P. Morozko, O. Serhiienko, I. Kotvytskyi, I. Shherbenko, “Automated System for Subjective Evaluation of the Ukrainian Speech Intelligibility,” Proc. of IEEE 38th Int. Conf. on Electronics and Nanotechnology (ELNANO), pp. 533-538, April 24- 26, Kyiv, Ukraine, 2018.

M. Jeub, M. Schäfer, and P. Vary, “A binaural room impulse response database for the evaluation of dereverberation algorithms,” In Int. Conf. Proc. on Digital Signal Processing (DSP), Santorini, Greece, 2009.

Aachen Impulse Response Database. Available on-line: https://www.iks.rwth-aachen.de/en/research/tools-downloads/databases/aachen-impulse-response-database

W. Ahnert, W. Schmidt, Fundamentals to perform acoustical measurements. Appendix to EASERA. Berlin, 2005.


Перелік посилань


  1. J. Blauert Ed., The technology of binaural listening. Springer, Berlin–Heidelberg–New York, 2013.
  2. J. Lochner and J. Burger, “The influence of reflections on auditorium acoustics,” Journal of Sound and Vibration, No. 1, pp. 426-454, 1964.
  3. G. Soulodre, N. Popplewell, and J. Bradley, “Combined effects of early reflections and background noise on speech intelligibility,” Journal of Sound and Vibration, vol. 135, No.1, pp. 123-133, 1989.
  4. J. Bradley, “Predictors of speech intelligibility in rooms,” J. Acoust. Soc. Am., vol 80, pp. 837–845, 1986.
  5. J. Bradley, “Speech intelligibility studies in classrooms,” J. Acoust. Soc. Am., vol. 80, pp. 846–854, 1986.
  6. J. Bradley, R. Reich, and S. Norcross, “On the combined effects of signal-to-noise ratio and room acoustics on speech intelligibility,” J. Acoust. Soc. Am., vol. 106 (4), Pt. 1, pp. 1820-1828, October 1999.
  7. H Sato and J. Bradley, “Evaluation of acoustical conditions for speech communication in working elementary school classrooms,” J. Acoust. Soc. Am. 106 (4), Pt. 1, pp. 2064–2077, 2004.
  8. J Bradley and H. Sato, “Speech intelligibility test results for grades 1, 3 and 6 children in real classrooms,” Proc. of ICA, Kyoto, 2004.
  9. W. Yang and J. Bradley, “Effects of room acoustics on the intelligibility of speech in classrooms for young children,” J. Acoust. Soc. Am., vol. 125 (2), pp. 922–933, 2009.
  10. A. Prodeus, K. Bukhta, P. Morozko, O. Serhiienko, I. Kotvytskyi, O. Dvornyk, “Automated Subjective Assessment of Speech Intelligibility in Various Listening Modes,” Microsystems, Electronics and Acoustics, vol. 23, no. 3, pp.49-57, 2018.
  11. J. Bradley, H. Sato, and M. Picard, “On the importance of early reflections for speech in rooms,” J. Acoust. Soc. Am., vol. 113, no. 6, pp. 3233-3244, June 2003.
  12. I. Arweiler, J. Buchholz, and T. Dau, “Speech intelligibility enhancement by early reflections,” Proc. of 2nd Int. Symposium on Auditory and Audiological Research (ISAAR 2009), Elsinore, Denmark, August 2009.
  13. S. Naida, O. Pavlenko, “Coupled Circuits Model in Objective Audiometry,” Proc. of the 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), pp. 281-286, April 24-26, Kyiv, Ukraine, April 2018.
  14. S. Naida, O. Pavlenko, “Newborn Hearing Screening Based on the Formula for the Middle Ear Norm Parameter,” Proc. of the 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO), pp. 287-291, April 24-26, Kyiv, Ukraine, April 2018.
  15. J. Benesty, Y. Huang, and J. Chen, Wiener and Adaptive Filters. In Springer Handbook of Speech Processing, J. Benesty, M. Sondhi, and Y. Huang, Eds. Springer-Verlag Berlin Heidelberg, 2008, pp. 103-120.
  16. E. Habets, N. Gaubitch, and P. Naylor, “Temporal selective dereverberation of noisy speech using one microphone,” Proc. of 2008 IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. 4577-4580, March-April 2008.
  17. A. Prodeus, K. Bukhta, P. Morozko, O. Serhiienko, I. Kotvytskyi, I. Shherbenko, “Automated System for Subjective Evaluation of the Ukrainian Speech Intelligibility,” Proc. of IEEE 38th Int. Conf. on Electronics and Nanotechnology (ELNANO), pp. 533-538, April 24- 26, Kyiv, Ukraine, 2018.
  18. M. Jeub, M. Schäfer, and P. Vary, “A binaural room impulse response database for the evaluation of dereverberation algorithms,” In Int. Conf. Proc. on Digital Signal Processing (DSP), Santorini, Greece, 2009.
  19. Aachen Impulse Response Database. Available on-line: https://www.iks.rwth-aachen.de/en/research/tools-downloads/databases/aachen-impulse-response-database
  20. W. Ahnert, W. Schmidt, Fundamentals to perform acoustical measurements. Appendix to EASERA. Berlin, 2005.


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