  Smart glasses are increasingly recognized as a key medium for augmented
reality, offering a hands-free platform with integrated microphones and
non-ear-occluding loudspeakers to seamlessly mix virtual sound sources into the
real-world acoustic scene. To convincingly integrate virtual sound sources, the
room acoustic rendering of the virtual sources must match the real-world
acoustics. Information about a user's acoustic environment however is typically
not available. This work uses a microphone array in a pair of smart glasses to
blindly identify binaural room impulse responses (BRIRs) from a few seconds of
speech in the real-world environment. The proposed method uses dereverberation
and beamforming to generate a pseudo reference signal that is used by a
multichannel Wiener filter to estimate room impulse responses which are then
converted to BRIRs. The multichannel room impulse responses can be used to
estimate room acoustic parameters which is shown to outperform baseline
algorithms in the estimation of reverberation time and direct-to-reverberant
energy ratio. Results from a listening experiment further indicate that the
estimated BRIRs often reproduce the real-world room acoustics perceptually more
convincingly than measured BRIRs from other rooms with similar geometry.
