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Tytuł artykułu

Logatome and Sentence Recognition Related to Acoustic Parameters of Enclosures

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper deals with relationship between speech recognition and objective parameters of enclosures. Six enclosures were chosen: a church, an assembly hall of a music school, two courtrooms of different volumes, a typical auditorium and a university concert hall. Dirac 4.1 software was used to record impulse responses (IRs) in the chosen measurement points of each enclosure. On this base, the following objective parameters of the enclosure were determined: Reverberation Time (RT), Early Decay Time (EDT), Weighted Clarity (C50) and Speech Transmission Index (STI). A convolution of the IRs with logatome tests and the Polish Sentence Test (PST) was made. Logatome recognition and speech reception threshold (SRT – i.e., SNR yielding 50% speech recognition) were evaluated and their dependence on the objective parameters were determined. Generally a linear relationship between logatome or SRT and RT or EDT was found. However, speech recognition was nonlinearly related (according to psychometric function) to STI values. The most sensitive range of the logatome and sentence recognition relative to STI changes corresponded to the middle range of STI values. Below and above this range, logatome and sentence recognition were much less dependent of STI changes.
Rocznik
Strony
385--394
Opis fizyczny
Bibliogr. 43 poz., tab., wykr.
Twórcy
autor
  • Institute of Acoustics, Faculty of Physics, Adam Mickiewicz University, Umultowska 85, 61-614 Poznań, Poland
autor
  • Institute of Acoustics, Faculty of Physics, Adam Mickiewicz University, Umultowska 85, 61-614 Poznań, Poland
Bibliografia
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  • 27. Bruel & Kjaer (2008), Manual Dirac 4.1.
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  • 31. Ozimek E., Kutzner D., Sęk A., Wicher A. (2009b), Development and evaluation of Polish digit triplet test for auditory screening, Speech Communication, 51, 4, 307-316.
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  • 36. PN-EN-ISO3382 (2010), Acoustics – Measurement of room acoustic parameters – Part 2: Reverberation time in ordinary rooms.
  • 37. Pruszewicz A., Demenko G., Richter L., Wika T. (1994a), New articulation lists for speech audiometry. Part I [in Polish], Otolaryngologia Polska, 48, 50-55.
  • 38. Pruszewicz A., Demenko G., Richter L., Wika T. (1994b), New articulation lists for speech audiometry. Part II [in Polish], Otolaryngologia Polska, 48, 56-62.
  • 39. Shen Y., Richards V. M. (2012), A maximumlikelihood procedure for estimating psychometric functions: Thresholds, slopes, and lapses of attention, Journal of the Acoustical Society of America, 132, 2, 957-967.
  • 40. Steeneken H. J. M., Houtgast T. (1980), A physical method for measuring speech-transmission quality, Journal of the Acoustical Society of America, 69, 318-326.
  • 41. Versfeld N. J., Daalder L., Festen J. M., Houtgast T. (2000), Method for the selection of sentence material for efficient measurement of the speech reception threshold, Journal of Acoustical Society of America, 107, 1671-1684.
  • 42. Yang W. (2006), Optimizing Acoustical conditions for speech intelligibility in classrooms, PhD Thesis, University of British Columbia, Vancouver.
  • 43. Yang W., Bradley J. S. (2009), Effects of room acoustics on the intelligibility of speech in classrooms for young children, Journal of Acoustical Society of America, 125, 2, 922-933.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-59c86b96-27a1-4c69-b6a5-e099e548df2b
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