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National Taiwan Normal University
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ZP-KWS slashes false rejection rates by up to 60% while keeping keyword detection robust, all in a compact model designed for edge devices.
A decoupled optimization framework for text-to-music evaluation significantly outperforms traditional methods by aligning model outputs more closely with human judgments.