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BAMU achieves a remarkable MOS improvement in speech quality by dynamically allocating quantization resources based on frame complexity, outperforming traditional fixed-depth codecs.
Convex neural energy elements transform neural operators into reusable components that guarantee stability and accuracy, even in complex geometries.