Voice separation model training method and device, storage medium and computer equipment

Abstract

The invention relates to a voice separation model training method and device, a computer readable storage medium and a computer device. The method comprises the steps of obtaining a first audio and asecond audio; wherein the first audio comprises a target audio and correspondingly has a marked audio; wherein the second audio comprises noise audio; obtaining a coding model, an extraction model andan initial estimation model; performing unsupervised training on the coding model, the extraction model and the estimation model according to the second audio, and adjusting model parameters of the extraction model and the estimation model; performing supervised training on the coding model and the extraction model according to the first audio and the annotated audio corresponding to the first audio, and adjusting model parameters of the coding model; and continuously carrying out unsupervised training and supervised training, so that the unsupervised training and the supervised training arecarried out in an overlapping manner, and ending the training until a training stopping condition is met. According to the scheme provided by the invention, the model training cost can be reduced.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a speech separation model training method, device, storage medium and computer equipment. Background technique [0002] Speech, as the acoustic representation of language, is one of the most natural and effective ways for humans to communicate information. In the process of voice communication, people will inevitably be disturbed by environmental noise or other speakers. These interferences make the collected audio not pure speaker's voice. In recent years, many speech separation models have been trained to separate target speaker speech from mixed audio. However, current speech separation models are usually trained in a supervised learning manner, which requires manual collection or labeling of high-quality training samples, and such a training process is expensive. Contents of the invention [0003] Based on this, it is necessary to provide a speech separation ...

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to provide a voice separation model training method, device, storage medium and computer equipment for the technical problem of high cost of existing model training methods

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