Raake, A., and Katz, B.
Measurement and Prediction of Speech Intelligibility in a Virtual Chat Room
In: Proc. 2nd ISCA/DEGA Tutorial and Research Workshop on Perceptual Quality of Systems, 4-6 September 2006, D-Berlin, 40-43.
Intelligibility in a telecommunication-based conference application
can largely be improved, when the speech signals of
the different interlocutors are presented spatially, and when the
sources are spatially distributed. For the controlled exploitation
of the underlying Cocktail Party Effect in speech chat applications,
a prediction of the intelligibility related to a given spatial
configuration is sought. To this aim, a number of intelligibility
tests have been conducted on different configurations of a virtual
speech chat room based on binaural rendering technology
and headphone presentation. The measurement object of the intelligibility
tests was the Speech Reception Threshold, i.e. the
signal-to-interferer ratio threshold for 50% intelligibility. Based
on the test results, the paper presents a parametric model developed
for intelligibility predictions in virtual chat-room applications,
and briefly discuss its prediction performance.