Christoph Hold — 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

Improving Binaural Ambisonics Decoding by Spherical Harmonics Domain Tapering and Coloration Compensation

Christoph Hold, Hannes Gamper, Ville Pulkki, Nikunj Raghuvanshi, Ivan J. Tashev

ICASSP 2019accepted

A powerful and flexible approach to record or encode a spatial sound scene is through spherical harmonics (SHs), or Ambisonics. An SH-encoded scene can be rendered binaurally by applying SH-encoded head-related transfer functions (HRTFs). Limitations of the recording equipment or computational const…

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