Web Reference: The interface offers an interactive and user-friendly way to explore the hyperbolic space of a pre-trained model by allowing users to load their own audio examples and perform selection-based source separation on the Poincaré Ball. Dec 9, 2022 · We introduce a framework for audio source separation using embeddings on a hyperbolic manifold that compactly represent the hierarchical relationship between sound sources and time-frequency features. User interface demo video for the ICASSP 2023 submission "Hyperbolic Audio Source Separation" authored by Darius Petermann, Gordon Wichern, Aswin Subramanian, and Jonathan Le Roux.
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Hyperbolic Audio Source Separation Interface Net Worth 2026: Salary, Income & Wealth Net Worth & Biography
Estimated Worth: $75M - $84M
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Last Updated: April 9, 2026
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