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Abstract

A training method and an enhancement method for a speech enhancement model, an apparatus, an electronic device, a storage medium, and a program product are described. A training method for the model may include: invoking the model based on a noisy speech feature of a speech signal, to obtain first predicted mask values in an auditory domain. A first amplitude and first phase of the noisy speech signal, and a second amplitude and second phase of a clean speech signal may then be obtained. A phase difference at each frequency point may be determined based on the phases. The second amplitude corresponding to each frequency point may be corrected based on the phase difference at each frequency point, to obtain a corrected second amplitude corresponding to each frequency point. A loss value is determined, and parameters of the speech enhancement model may be updated based on the loss value.

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