  Binaural Audio Telepresence (BAT) aims to encode the acoustic scene at the
far end into binaural signals for the user at the near end. BAT encompasses an
immense range of applications that can vary between two extreme modes of
Immersive BAT (I-BAT) and Enhanced BAT (E-BAT). With I-BAT, our goal is to
preserve the full ambience as if we were at the far end, while with E-BAT, our
goal is to enhance the far-end conversation with significantly improved speech
quality and intelligibility. To this end, this paper presents a tunable BAT
system to vary between these two AT modes with a desired application-specific
balance. Microphone signals are converted into binaural signals with prescribed
ambience factor. A novel Spatial COherence REpresentation (SCORE) is proposed
as an input feature for model training so that the network remains robust to
different array setups. Experimental results demonstrated the superior
performance of the proposed BAT, even when the array configurations were not
included in the training phase.
