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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.
Expectation-consistency in recommender systems can be achieved without sacrificing performance, thanks to the PIT-SUN framework's innovative approach to empirical marginal recovery.
Semantic priors in neural speech codecs hit a wall: their benefits plateau beyond 6 kbps, revealing a fundamental limit to improving intelligibility at higher bitrates.
