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Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge (2505.07365v1)

Published 12 May 2025 in cs.SD, cs.AI, cs.CL, cs.MM, and eess.AS

Abstract: We present Task 5 of the DCASE 2025 Challenge: an Audio Question Answering (AQA) benchmark spanning multiple domains of sound understanding. This task defines three QA subsets (Bioacoustics, Temporal Soundscapes, and Complex QA) to test audio-LLMs on interactive question-answering over diverse acoustic scenes. We describe the dataset composition (from marine mammal calls to soundscapes and complex real-world clips), the evaluation protocol (top-1 accuracy with answer-shuffling robustness), and baseline systems (Qwen2-Audio-7B, AudioFlamingo 2, Gemini-2-Flash). Preliminary results on the development set are compared, showing strong variation across models and subsets. This challenge aims to advance the audio understanding and reasoning capabilities of audio-LLMs toward human-level acuity, which are crucial for enabling AI agents to perceive and interact about the world effectively.

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