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In the world of AI, explainable AI (XAI) methods are becoming increasingly important in ensuring safe and trustworthy decision-making. A recent review article delves into audio XAI models and categorizes them into general methods and audio-specific methods. General methods involve adapting non-audio models to audio tasks, while audio-specific methods focus on breaking down audio inputs into meaningful components.