Neural network model training method, audio generation method and device and electronic equipment

Abstract

The invention discloses a neural network model training method and device, an audio generation method and device, electronic equipment and a computer readable storage medium. The neural network modeltraining method comprises the steps of obtaining a training dry audio, determining all phonetic symbols in the training dry audio, and converting each phonetic symbol into an international phonetic symbol; determining a differentiated international phonetic symbol corresponding to each unvoiced phonetic symbol according to the subsequent phonetic symbol of each unvoiced phonetic symbol in all phonetic symbols and the international phonetic symbol corresponding to each unvoiced phonetic symbol; generating phoneme information corresponding to the training dry audio on the basis of the differentiated international phonetic symbols corresponding to the unvoiced phonetic symbols and the international phonetic symbols corresponding to the phonetic symbols except the unvoiced phonetic symbols; and training a neural network model by using the training dry audio and the corresponding phoneme information so as to establish a mapping relationship between the phoneme information and the dry audio.According to the neural network model training method, the sound quality of the synthesized dry sound is improved.

Description

technical field [0001] The present application relates to the technical field of sound synthesis, and more specifically, to a neural network model training method and device, an audio generation method and device, electronic equipment and a computer-readable storage medium. Background technique [0002] With the development of deep learning technology and audio signal processing technology, artificially synthesized singing voices have gradually become possible. People can use technology to generate dry voices, that is, pure human voices without music. These synthesized dry sounds are accompanied by an accompaniment to obtain a song. [0003] In the related art, a method based on parameter synthesis is used to synthesize dry sound, which can achieve the effect of accurate pronunciation time and controllable rhythm under the condition of accurate parameters, but the sound quality is generally poor. It can be seen that during the process of implementing the present invention, ...

AI Technical Summary

Problems solved by technology

[0003] In the related technology, the method based on parameter synthesis is used to synthesize dry sound, which can achieve the effect of accurate pronunciation time and controllable rhythm under the condition of accurate parameters, but the sound quality is generally poor

It can be seen that in the process of realizing the present invention, the inventors have found that there are at least the following problems in the related art: the sound quality of the synthesized dry sound is relatively poor

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