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Samuel Hassel

2 accepted papers

2025

A2B: Neural Rendering of Ambisonic Recordings to Binaural

ICASSP 2025accepted

This paper introduces a novel neural network model for rendering binaural audio directly from ambisonic recordings. We optimized the model end-to-end to learn a direct mapping between ambisonic and binaural signals. Our approach eliminates traditional processing steps that were required to mitigate…

Cited by 0SourceScholar
2025

BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models

ICML 2025poster

Binaural rendering aims to synthesize binaural audio that mimics natural hearing based on a mono audio and the locations of the speaker and listener. Although many methods have been proposed to solve this problem, they struggle with rendering quality and streamable inference. Synthesizing high-qual…

Cited by 0SourcePDFScholar