Research from Meta

All Publications

April 24, 2021
Lachlan Birnie, Thushara Abhayapala, Vladimir Tourbabin, Prasanga Samarasinghe

In this paper, we propose a method for binaurally reproducing a microphone recording in a virtual application that allows the user to freely translate their body further beyond the recording position. The method incorporates a mixture of near-field and far-field sources in a sparsely expanded virtual environment to maintain a perceptually accurate reproduction.

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February 1, 2021
Sebastià V. Amengual Garí, Johannes M. Arend, Paul Calamia, Philip Robinson

Through simulations and measurements, we explore optimal values for the various processing parameters such as array size and temporal processing window size and compare the results of TDOA and PIV DOA estimation. We introduce spatial clustering of reflections as a post-processing step, which reduces the un-natural direction-of-arrival spread of late reflections at the expense of spatial distortion for consecutive reflections.

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February 1, 2021
Hannes Helmholz, David Lou Alon, Sebastià V. Amengual Garí, Jens Ahrens

We consider the application of binaural rendering of spherical microphone array signals in this paper. We use the Real-Time Spherical Array Renderer (ReTiSAR) to analyze the frequency-dependent white-noise-gain i.e., the improvement of the signal-to-noise ratio (SNR) between a selected microphone of the array and the binaural output signals.

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October 25, 2020
Hanan Beit-On, Vladimir Tourbabin, Boaz Rafaely

A common approach to overcoming the effect of reverberation in speaker localization is to identify the time-frequency (TF) bins in which the direct path is dominant, and then to use only these bins for estimation. Various direct-path dominance (DPD) tests have been proposed for identifying the direct-path bins. However, for a two-microphone binaural array, tests that do not employ averaging over TF bins seem to fail. In this paper, this anomaly is studied by comparing two DPD tests, in which only one has been designed to employ averaging over TF bins.

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