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Research questionHow can audio enhancement handle coupled real-world distortions while producing personalized, executable workflows?Real-world recordings can contain interacting distortions, so correcting one artifact may affect others. Enhancement must also adapt to personalization requirements while producing workflows that are valid and executable.
AI
AI Agents
Audio & Speech
Audio & Speech Processing
Multimodal Models
Reinforcement Learning
Sound
Latest papersRecent research connected to this question, newest first.StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World ScenariosThe source describes StrixAE, an MLLM-based agent coordinating multiple audio enhancement and personalization models. It reports training with supervised reasoning and audio-specific reinforcement learning, then evaluates real-world test datasets using perceptual metrics and claims generalization across scenarios.research paper · Sep 3, 2026
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