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Karlsruhe Institute of Technology
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High speech overlap isn't the primary challenge in cocktail-party scenarios; innovative audio-visual strategies and large language models can cut recognition errors by 57%.
Blind cross-sensor spectral super-resolution can achieve unprecedented accuracy by learning the spectral transformation function directly from data, rather than relying on fixed assumptions.
