DAS adds a cached per-class bonus derived from noise-conditioned text prompts to cosine scores, improving accuracy by 2.60-5.75 points on UrbanSound8K and mAP by 1.50-1.74 points on FSD50K under urban noise.
Emo-tta: Improving test- time adaptation of audio-language models for speech emotion recognition
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A survey of Large Audio Language Models that establishes a taxonomy of trustworthiness vulnerabilities and proposes a Defense-in-Depth roadmap for audio intelligence.
citing papers explorer
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Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification
DAS adds a cached per-class bonus derived from noise-conditioned text prompts to cosine scores, improving accuracy by 2.60-5.75 points on UrbanSound8K and mAP by 1.50-1.74 points on FSD50K under urban noise.
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A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook
A survey of Large Audio Language Models that establishes a taxonomy of trustworthiness vulnerabilities and proposes a Defense-in-Depth roadmap for audio intelligence.