Leo McCormack — accepted AI-conference papers

2024

Perceptually-Motivated Spatial Audio Codec for Higher-Order Ambisonics Compression

Christoph Hold, Leo McCormack, Archontis Politis, Ville Pulkki

ICASSP 2024accepted

Scene-based spatial audio formats, such as Ambisonics, are playback system agnostic and may therefore be favoured for delivering immersive audio experiences to a wide range of (potentially unknown) devices. The number of channels required to deliver high spatial resolution Ambisonic audio, however,…

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2019

Sharpening of Angular Spectra Based on a Directional Re-assignment Approach for Ambisonic Sound-field Visualisation

Leo McCormack, Archontis Politis, Ville Pulkki

ICASSP 2019accepted

A method for computing and sharpening angular spectra, derived from low-order ambisonic signals, is presented in this paper, which is intended for high-resolution directional sound-field visualisation. The method relies on a re-assignment principle, whereby the directional energy for each grid point…

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