In this paper we address the problem of simultaneous room
response equalization for multiple listeners. Traditional
approaches to this problem have used a single microphone at the
listening position to measure impulse responses from a
loudspeaker and then use an inverse filter to correct the
frequency response. The problem with that approach is that it
only works well for that one point and in most cases is not
practical even for one listener with a typical ear spacing of 18
cm. It does not work at all for other listeners in the room, or
if the listener changes positions even slightly. We propose a new
approach that is based on the Fuzzy {\em c-}means clustering
technique. We use this method to design equalization filters and
demonstrate that we can achieve better equalization performance
for several locations in the room simultaneously as compared to
single point or simple averaging methods.
