scholarly journals Application of the speech transmission index (STI) and the articulation index (AI) to the hearing impaired

1990 ◽  
Vol 88 (S1) ◽  
pp. S32-S32
Author(s):  
Larry E. Humes
Keyword(s):  
Hearing Impaired ◽  
Transmission Index ◽  
Speech Transmission ◽  
Articulation Index

Application of the Articulation Index and the Speech Transmission Index to the Recognition of Speech by Normal-Hearing and Hearing-Impaired Listeners

1986 ◽  
Vol 29 (4) ◽  
pp. 447-462 ◽  
Author(s):  
Larry E. Humes ◽  
Donald D. Dirks ◽  
Theodore S. Bell ◽  
Christopher Ahlstbom ◽  
Gail E. Kincaid
Keyword(s):  
Recognition Performance ◽  
Normal Hearing ◽  
Hearing Impaired ◽  
Hybrid Index ◽  
The Third ◽  
Transmission Index ◽  
Speech Transmission ◽  
Articulation Index ◽  
Reverberant Speech ◽  
Prospective Investigation

The present article is divided into four major sections dealing with the application of acoustical indices to the prediction of speech recognition performance. In the first section, two acoustical indices, the Articulation Index (AI) and the Speech Transmission Index (STI), are described. In the next section, the effectiveness of the AI and the STI in describing the performance of normal-hearing and hearing-impaired subjects listening to spectrally distorted (filtered) and temporally distorted (reverberant) speech is examined retrospectively. In the third section, the results of a prospective investigation that examined the recognition of nonsense syllables under conditions of babble competition, filtering and reverberation are described. Finally, in the fourth section, the ability of the acoustical indices to describe the performance of 10 hearing-impaired listeners, 5 listening in quiet and 5 in babble, is examined. It is concluded that both the AI and the STI have significant shortcomings. A hybrid index, designated mSTI, which takes the best features from each procedure, is described and demonstrated to be the best alternative presently available.

Binaural speech-to-noise loudness ratio at the speech reception threshold in vehicles

2021 ◽  
Vol 69 (2) ◽  
pp. 173-179
Author(s):  
Nilolina Samardzic ◽  
Brian C.J. Moore
Keyword(s):  
Speech Intelligibility ◽  
New Method ◽  
Traditional Methods ◽  
Speech Reception ◽  
Typical Error ◽  
Transmission Index ◽  
Speech Transmission ◽  
Articulation Index ◽  
Speech Intelligibility Index ◽  
Binaural Listening

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).

Multi-objective building design optimisation using acoustics and daylighting

2021 ◽  
pp. 1420326X2110401
Author(s):  
Asli Agirbas
Keyword(s):  
Case Studies ◽  
Building Design ◽  
Visual Programming ◽  
Multi Objective ◽  
Material Usage ◽  
Transmission Index ◽  
Speech Transmission ◽  
Visual Programming Language ◽  
Building Form ◽  
Speech Clarity

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.

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