METHOD AND SERVER FOR SPEECH SYNTHESIS IN TEXT Russian patent published in 2017 - IPC G10L13/08 G10L15/16 G10L15/06 

FIELD: physics.

SUBSTANCE: acoustic space model is trained on the basis of the training speech attribute data using deep neural networks to determine the interdependence factors between the speech attributes in the training data. The deep neural network creates a single continuous acoustic spatial model based on the interdependence factors. Acoustic spatial model, thus, takes into account many interdependent speech attributes and gives the ability to simulate a continuous spectrum of the interdependent speech attributes. Further, there is a text receipt; receiving selection of one or more speech attributes, wherein each speech attribute has a weight of the selected attribute. The text is converted to the synthesized speech using the acoustic space model, and the synthesized speech has a selected speech attribute. The synthesized speech is output as audio having the selected speech attribute.

EFFECT: increasing the human voice naturalness in the synthesized speech.

14 cl, 4 dwg