Rebecca R. Vos — accepted AI-conference papers

2023

The MBSTOI Binaural Intelligibility Metric Using a Close-Talking Microphone Reference

Pierre Guiraud, Alastair H. Moore, Rebecca R. Vos, Patrick A. Naylor, Mike Brookes

ICASSP 2023accepted

Intelligibility metrics are a fast way to determine how comprehensible a target signal is in a noisy situation. Most metrics however rely on having a clean reference signal for computation and are not adapted to live recordings. In this paper the deep correlation modified binaural short time objecti…

Cited by 0 Source ↗Scholar ↗

2021

Processing Pipelines for Efficient, Physically-Accurate Simulation of Microphone Array Signals in Dynamic Sound Scenes

Alastair H. Moore, Rebecca R. Vos, Patrick A. Naylor, Mike Brookes

ICASSP 2021accepted

Multichannel acoustic signal processing is predicated on the fact that the interchannel relationships between the received signals can be exploited to infer information about the acoustic scene. Recently there has been increasing interest in algorithms which are applicable in dynamic scenes, where t…

Cited by 2 Source ↗Scholar ↗