Method and apparatus for training acoustic network model, and electronic device

Abstract

Disclosed are a method and apparatus for training an acoustic network model, and an electronic device, a readable storage medium, a computer program product and a program, wherein same belong to the technical field of data processing. The method comprises: acquiring a training sample for training of an acoustic network model, wherein the training sample includes one or more speech files (S); performing peak detection on speech included in the speech file by using a BLSTM network, so as to divide letters included in the speech file on the basis of a detected peak, thereby forming segmented speech (S); performing semantic prediction on the segmented speech on the basis of a preset CTC segmentation network to obtain a text prediction result (S); and after the prediction result meets a preset performance requirement, stopping the training of the acoustic network model so as to perform text prediction on input speech by using the acoustic network model (S). The method can improve the training efficiency of an acoustic network model.