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Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoning
Recent advancements in large multimodal models (LMMs) have shown strong capabilities in audio understanding. However, most systems rely solely on end-to-end reasoning, limiting interpretability and accuracy for tasks that require structured knowledge or specialized signal analysis. In this work, we
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