  Direct-to-Reverberant Ratio (DRR) is an important measure for characterizing
the properties of a room. The recently proposed DRR Estimation using a
Null-Steered Beamformer (DENBE) algorithm was originally tested on simulated
data where noise was artificially added to the speech after convolution with
impulse responses simulated using the image-source method. This paper evaluates
the performance of this algorithm on speech convolved with measured impulse
responses and noise using the Acoustic Characterization of Environments (ACE)
Evaluation corpus. The fullband DRR estimation performance of the DENBE
algorithm exceeds that of the baselines in all Signal-to-Noise Ratios (SNRs)
and noise types. In addition, estimation of the DRR in one third-octave ISO
frequency bands is demonstrated.
