Method and apparatus for training acoustic network model, and electronic device
US12300218B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2021 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Oct 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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 (S101); 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 (S102); performing semantic prediction on the segmented speech on the basis of a preset CTC segmentation network to obtain a text prediction result (S103); 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 (S104). The method can improve the training efficiency of an acoustic network model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.