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Performance and Complexity Trade-off Optimization of Speech Models During Training

arXiv:2601.13704v4 Announce Type: replace-cross Abstract: In speech machine learning, neural network models are typically designed by choosing an architecture with fixed layer sizes and structure. These models are then trained to maximize performance on metric

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