The present application relates to the technical field of
artificial intelligence, and in particular to a
speech enhancement model training method and apparatus, an electronic device and a storage medium. The method comprises: in each iterative training of an initial
speech enhancement model, by means of an input layer, extracting a first audio feature of a speech
signal to be enhanced; performing band compression on the first audio feature by means of a band compression layer to obtain a second audio feature having undergone dimension reduction; performing
feature mapping on the second audio feature in a loop iteration mode by means of a
feature mapping layer to obtain a third audio feature, wherein in the loop
iteration process, the number of output channels of the
feature mapping layer is gradually increased; and inputting the third audio feature into an output layer to obtain estimated
gain information, and incorporating real
gain information, performing parameter adjustment on the initial
speech enhancement model. The present application can ensure the
processing effect of a trained model, and reduce the operation complexity to increase the operation speed, thereby meeting the real-time operation requirement, and improving the communication experience.