@patent{Eaton2017b,
	title = {Reverberation estimator},
	shorttitle = {United {States} {Patent}},
	url = {http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=9799322.PN.},
	abstract = {Provided are methods and systems for generating Direct-to-Reverberant
     Ratio (DRR) estimates. The methods and systems use a null-steered
     beamformer to produce accurate DRR estimates across a variety of room
     sizes, reverberation times, and source-receiver distances. The DRR
     estimation algorithm uses spatial selectivity to separate direct and
     reverberant energy and account for noise separately. The formulation
     considers the response of the beamformer to reverberant sound and the
     effect of noise. The DRR estimation algorithm is more robust to
     background noise than existing approaches, and is applicable where a
     signal is recorded with two or more microphones, such as with mobile
     communications devices, laptop computers, and the like.},
	assignee = {Google Inc.},
	number = {9799322},
	urldate = {2017-10-30},
	author = {Eaton, D. James and Moore, Alastair H. and Naylor, Patrick A. and Skoglund, Jan},
	month = oct,
	year = {2017},
}

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