Objective: The development of a test of virtual speech intelligibility
in noise that enables assessment in typical, everyday listening situa
tions. To eliminate extraneous confounding factors, digital signal pro
cessing was incorporated to simulate listening environments and source
locations and allow presentation of stimuli via earphones. Design: So
urce-to-eardrum transfer functions measured on KEMAR for various sourc
e locations in anechoic and reverberant environments were used to proc
ess monosyllabic words and speech-spectrum noise. Speech intelligibili
ty was measured for three speech and noise configurations in two envir
onments using an adaptive procedure to determine the signal-to-noise (
S/N) ratio for 50% intelligibility. Results: Normal-hearing listeners
achieved 50% intelligibility of monosyllabic words at significantly lo
wer S/N ratios in a virtual anechoic environment than in a virtual rev
erberant environment. Speech intelligibility improved significantly in
both environments when the speech and noise sources were separated, b
ut the intelligibility gain in the anechoic environment was four times
larger than in the reverberant environment. Conclusions: This test is
easy to administer and score, and it provides a means for measuring:
1) the effects of separating speech and noise sources and 2) the effec
ts of reverberation on speech intelligibility in noise while eliminati
ng confounding factors such as calibration.