Multiple-point Statistical Room Correction for Audio
Reproduction: Minimum Mean Square Error Correction
Wavetrain AS and
Journal of the Acoustical Society of America,
vol. 125, no. 4, April 2009, pp. 2121-2128.
This paper treats the problem of correction of loudspeaker
and room responses using a single source.
The objective is to obtain a linear correction filter,
which is robust with respect to listener movement
within a predefined region-of-interest.
The correction filter is based on estimated impulse
responses, obtained at several positions, and a
linear minimum mean squared error criteria.
The impulse responses are estimated using a Bayesian approach
that takes both model errors and measurement
noise into account, which results in reliable impulse
response estimates and a measure of the estimation errors.
The correction filter is then constructed by using information
from both the estimated impulse response coefficients and
their associated estimation errors.
Furthermore, in the optimization criteria a time-dependent
reflection filter is introduced, which attenuates the
high frequency parts of the reflected responses, that is,
the parts of the responses that cannot be compensated
with a single source system.
The resulting correction filter is shown to
significantly improve both the temporal and
spectral properties of the responses compared
to the uncorrected system, and, furthermore,
the obtained correction filter has a low level of pre-ringing.
by Lars-Johan Brännmark
Audio research at Signals and Systems
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