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AIB is presented, the first auditory illusion benchmark for LALMs, covering ten representative illusions across music, sound, and speech, each annotated for the presence of knowledge-based priors, and shows systematic differences that highlight the current limitations of LALMs as cognitive models.
This work introduces LipCoder, a voice-centric programming toolkit designed to deliver editor-level functionality through auditory and speech-based interfaces, and quantitative trends and qualitative feedback point to directions for auditory-first design that may broaden accessibility in speech-driven coding environmen...
The vocal music of each language carries a distinctive sonic identity, even without instrumental accompaniment. We ask whether these differences are measurable and traceable to specific phonemes. To tackle this question, we introduce phoneme-conditional analysis, which isolates the acoustic effect of typologically dist...
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