  Telepresence aims to create an immersive but virtual experience of the audio
and visual scene at the far end for users at the near end. In this
contribution, we propose an array-based binaural rendering system that converts
the array microphone signals into the head-related transfer function (HRTF)
filtered output signals for headphone-rendering. The proposed approach is
formulated in light of a model-matching principle (MMP) and is capable of
delivering more immersive experience than the conventional
localization-beamforming-HRTF filtering (LBH) approach. The MMP-based rendering
system can be realized via multichannel inverse filtering (MIF) and
multichannel deep filtering (MDF). In this study, we adopted the MDF approach
and used the LBH as well as MIF as the baselines. The all-neural system jointly
captures the spatial information (spatial rendering), preserves ambient sound
(enhancement), and reduces noise (enhancement) before generating binaural
outputs. Objective and subjective tests are employed to compare the proposed
telepresence system with two baselines.
