This paper presents dEchorate: a new database of measured multichannel Room Impulse Responses (RIRs) including annotations of early echo timings and 3D positions of microphones, real sources and image sources under different wall configurations in a cuboid room.
The experts estimate a mask from the noisy input and the final mask is then obtained as a weighted average of the experts' estimates, with the weights determined by the gating DNN.
As far as we are aware, our paper presents the first approach to modeling the physics of acoustic propagation using deep generative modeling.
In this study we present a deep neural network-based online multi-speaker localisation algorithm based on a multi-microphone array.
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science.
While the binaural minimum variance distortionless response (BMVDR) beamformer provides a good noise reduction performance and preserves the binaural cues of the desired source, it does not allow to control the reduction of the interfering sources and distorts the binaural cues of the interfering sources and the background noise.