A new verification of the speech transmission index for the English language

2018 ◽  
Vol 105 ◽  
pp. 1-11
Author(s):  
Lorenzo Morales ◽  
Francis F. Li
2009 ◽  
Vol 16 (3) ◽  
pp. 283-297 ◽  
Author(s):  
Menino A. S. M. P. Tavares ◽  
S. Rajagopalan ◽  
Satish J. Sharma ◽  
António P. O. Carvalho

The results presented here are based on field measurements carried out in six Catholic churches (Goa, India). Rapid Speech Transmission Index ( RASTI) and Subjective Speech Intelligibility ( SSI) measurements were made in four different seating zones of a church for three speech source locations (altar, pulpit, high altar), two languages (English, Konkani) and two postures (standing, sitting). The effects of language and postures were not significant. The altar location and the sanctuary of the church were preferable for speech intelligibility. Although the altar location showed better averages than the other speech source locations, the best predictive relationship between RASTI and SSI was the exponential growth of RASTI for the high altar source location with SSI for the English language.


2021 ◽  
Vol 69 (2) ◽  
pp. 173-179
Author(s):  
Nilolina Samardzic ◽  
Brian C.J. Moore

Traditional methods for predicting the intelligibility of speech in the presence of noise inside a vehicle, such as the Articulation Index (AI), the Speech Intelligibility Index (SII), and the Speech Transmission Index (STI), are not accurate, probably because they do not take binaural listening into account; the signals reaching the two ears can differ markedly depending on the positions of the talker and listener. We propose a new method for predicting the intelligibility of speech in a vehicle, based on the ratio of the binaural loudness of the speech to the binaural loudness of the noise, each calculated using the method specified in ISO 532-2 (2017). The method was found to give accurate predictions of the speech reception threshold (SRT) measured under a variety of conditions and for different positions of the talker and listener in a car. The typical error in the predicted SRT was 1.3 dB, which is markedly smaller than estimated using the SII and STI (2.0 dB and 2.1 dB, respectively).


2021 ◽  
pp. 1420326X2110401
Author(s):  
Asli Agirbas

Daylighting and acoustics parameters are related to each other in terms of material usage, specifically for window openings. However, no study has included acoustics and daylighting as objectives in the multi-objective optimisation models. In this study, this relationship was included to the optimisation process of generating building conceptual form. A model was developed to optimise the form of a building using acoustics, daylighting and floor area as the objectives. Daylight autonomy parameter for daylighting performance and C50 (speech clarity), reverberation time, Speech Transmission Index parameters for acoustic performance were used in the model which was created with visual programming language. Case studies were conducted with the model, and the results were discussed. Maximising speech clarity and maximising annual daylighting in the space were determined as objectives for the building form optimisation process in the case studies.


2008 ◽  
Vol 123 (6) ◽  
pp. 4514-4523 ◽  
Author(s):  
Sander J. van Wijngaarden ◽  
Rob Drullman

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