2015/10/26 by James Eaton, Eaton, James, Patrick A. Naylor +1
Computer Science · Engineering · Neuroscience · #Advanced Adaptive Filtering Techniques #FOS: Computer and information sciences #Hearing Loss and Rehabilitation #Sound (cs.SD) #Speech and Audio Processing #cs.SD
paper · pdf · doi:10.48550/arxiv.1510.07546
In Proceedings of the ACE Challenge Workshop - a satellite event of IEEE-WASPAA 2015 (arXiv:1510.00383). arXiv admin note: text overlap with arXiv:1510.01193
arxiv created 2015/10/26 · openalex publication_date 2015/10/26 · arxiv updated 2015/10/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.