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Wuhan University
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Achieving a breakthrough in music source restoration, DTT-BSR+ significantly enhances signal quality while preserving semantic integrity, outperforming existing methods.
Current LALMs exhibit significant performance disparities across cognitive auditory capabilities, revealing a critical oversight in existing evaluation methods.
A hybrid GAN architecture with RoPE transformers and dual-path RNNs achieves state-of-the-art music source restoration with only 7.1M parameters.
