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Warianty tytułu
Języki publikacji
Abstrakty
The Chinese word identification and sentence intelligibility are evaluated by grades 3 and 5 students in the classrooms with different reverberation times (RTs) from three primary school under different signal-to-noise ratios (SNRs). The relationships between subjective word identification and sentence intelligibility scores and speech transmission index (STI) are analyzed. The results show that both Chinese word identification and sentence intelligibility scores for grades 3 and 5 students in the classroom increased with the increase of SNR (and STI), increased with the increase of the age of students, and decreased with the increase of RT. To achieve a 99% sentence intelligibility score, the STIs required for grades 3, grade 5 students, and adults are 0.71, 0.61, and 0.51, respectively. The required objective acoustical index determined by a certain threshold of the word identification test might be underestimated for younger children (grade 3 students) in classroom but overestimated for adults. A method based on the sentence test is more useful for speech intelligibility evaluation in classrooms than that based on the word test for different age groups. Younger children need more favorable classroom acoustical environment with a higher STI than older children and adults to achieve the optimum speech communication in the classroom.
Wydawca
Czasopismo
Rocznik
Tom
Strony
213--219
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wykr.
Twórcy
autor
- School of Physics and Optoelectronics, South China University of Technology, Guangzhou, 510640, China
autor
- School of Physics and Optoelectronics, South China University of Technology, Guangzhou, 510640, China
Bibliografia
- 1. Anderson B. W., Kalb J. T. (1987), English verification of STI method for estimating speech intelligibility of a communications channel, J. Acoust. Soc. Am, 81, 1982–1985.
- 2. Astolfi A., Bottalico P., Barbato G. (2012), Subjective and objective speech intelligibility investigations in primary school classrooms, J. Acoust. Soc. Am., 131, 247–257.
- 3. Brachmański S. (2004), Estimation of logatom intelligibility with the STI method for polish speech transmitted via communication channels, Archives of Acoustics, 29, 4, 555–562.
- 4. Brachmański S. (2008), Objective measure for assessment of speech quality in rooms, Archives of Acoustics, 33, 4(S), 177–182.
- 5. Brachmański S. (2012), Automation of subjective measurements of logatom intelligibility in classrooms, [in:] Automation, Florian Kongoli [Ed.], Rijeka, In-Tech, pp. 61–78.
- 6. Bradley J. S. (1986), Speech intelligibility studies in classrooms, J. Acoust. Soc. Am., 80, 846–856.
- 7. Bradley J. S., Sato H. (2008), The intelligibility of speech in elementary school classrooms, J. Acoust. Soc. Am., 123, 2078–2089.
- 8. GB 4959-85: Methods of measurement for the characteristics of sound reinforcement in auditoria, Standard of P. R. China, 1985.
- 9. Houtgast T. (1981), The effect of ambient noise on speech intelligibility in classrooms, Appl. Acoust., 14, 15–25.
- 10. Hygge S. (2003), Classroom experiments on the effects of different noise sources and sound levels on long-term recall and recognition in children, Applied Cognitive Psychology, 17, 895–914.
- 11. Kalikow D. N., Stevens K. N., Elliott L. L. (1977), Development of a test of speech intelligibility in noise using sentence materials with controlled word predictability, J. Acoust. Soc. Am., 61, 1337–51.
- 12. Kitapci K., Galbrun L. (2014), Comparison of speech intelligibility between English, Polish, Arabic and Mandarin, Proceedings of Forum Acusticum 2014, Krakow, available: http://www.fa2014.agh.edu.pl/fa2014 cd/article/RS/R20F 2.pdf.
- 13. Kociński J., Ozimek E. (2015), Speech intelligibility in rooms with and without an induction loop for hearing aid users, Archives of Acoustics, 40, 1, 51–58.
- 14. Neuman A. C., Hochberg I. (1983), Children’s perception of speech in reverberation, J. Acoust. Soc. Am., 73, 2145–2149.
- 15. Ozimek E., Kociński J., Kutzner D., Sęk A., Wicher A. (2013), Speech intelligibility for different spatial configurations of target speech and competing noise source in a horizontal and median plane, Speech Communication, 55, 1021–1032.
- 16. Peng J. X. (2008), Relationship between Chinese speech intelligibility and speech transmission index in rooms using dichotic listening, Chinese Science Bulletin, 53, 2748–2752.
- 17. Peng J. X., Lü Y. X., Liu X. J., Lu X. D. (2011), Comparison of speech intelligibility between standard Chinese and English by native Chinese listener in rooms, Journal of South China University of Technology (Natural Science), 39, 130–134.
- 18. Peng J., Yan N., Wang D. (2015), Chinese speech intelligibility and its relationship with the speech transmission index for children in elementary school classrooms, J. Acoust. Soc. Am., 137, 85–93.
- 19. Stuart A. (2008), Reception Thresholds for Sentences in Quiet, Continuous Noise, and Interrupted Noise in School-Age Children, J. Am. Acad. Audiol., 19, 135–146.
- 20. Talarico M., Abdilla G., Aliferis M., Balazic I., Giaprakis I., Stefanakis T., Foenander K., Grayden D. B., Paolini A. G. (2006), Effect of age and cognition on childhood speech in noise perception abilities, Audiology and Neurotology, 12, 13–19.
- 21. Tang S. K., Yeung M. H. (2004), Speech transmission index or rapid speech transmission index for classrooms? A designer’s point of view, Journal of Sound and Vibration, 276, 431–439.
- 22. Tillery K. H., Brown C. A., Bacon S. P. (2012), Comparing the effects of reverberation and of noise on speech recognition in simulated electric-acoustic listening, J. Acoust. Soc. Am., 131, 416–423.
- 23. Wong L. N., Soli S. D., Liu S., Han N., Huang M. W. (2007), Development of the Mandarin Hearing in Noise Test (MHINT), Ear & Hearing, 28(s2), 70–74.
- 24. Yacullo W. S., Hawkins D. B. (1987), Speech recognition in noise and reverberation by school-age children, Audiology, 26, 235–246.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-00c9fe56-1941-41b8-aefc-becd0caf29aa