AES Store

Journal Forum

Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
10 comments

Reflecting on Reflections - June 2014
1 comment

Quiet Thoughts on a Deafening Problem - May 2014
1 comment

Access Journal Forum

AES E-Library

Accurate Prediction of Speech Intelligibility Without the Use of In-Room Measurements

The Speech Transmission Index (STI) has been shown to be an accurate predictor of speech intelligibility in auditoria, and the computationally more efficient RASTI method has recently become an official International Electrotechnical Commission (IEC) standard. While instruments have been developed by others to measure the STI after room construction is complete and the sound system is operating, until now the STI method has not been implemented and tested in a sound system modeling program. Such an implementation has a fundamental advantage in that it does not require acoustic measurements from the room as input; this means that intellibility can be predicted in unbuilt or inaccessible rooms solely on the basis of modeled rather than actual behavior. In this study, a new microcomputer-based implementation of the STI method is described along with the results of an experiment designed to test its accuracy. The accuracy of the new method is shown to be essentially the same as the accuracy of predictions based on in-room measurements. These results show that speech intelligibility can be accurately predicted without using acoustic measurements.

Authors:
Affiliation:
AES Convention: Paper Number:
Publication Date:
Subject:

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


 
Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society