Speech synthesis method and device, equipment and storage medium

Abstract

The invention relates to the technical field of semantic synthesis, and discloses a speech synthesis method and device, computer equipment and a computer readable storage medium. The method comprisesthe steps: acquiring a to-be-synthesized text, and converting the to-be-synthesized text into graph embedding vector information through a speech synthesis model, encoding the graph embedding vector information according to a graph encoder to generate corresponding first intermediate vector information, generating corresponding Mel language spectrum information according to the first intermediatevector information, and outputting voice synthesis information corresponding to the Mel language spectrum information. The specific semantic information of the text information is analyzed through thegraph auxiliary encoder to be mapped to different voice rhythms, so that the rhythm adjustment process becomes a full-automatic process, and the voice synthesis accuracy is improved. Meanwhile, the invention also relates to a blockchain technology, and the method can be applied to the fields of smart government affairs, smart education, smart medical treatment and the like, thereby further promoting the construction of smart cities.

Description

technical field [0001] The present application relates to the technical field of semantic synthesis, in particular to a speech synthesis method, device, computer equipment and computer-readable storage medium. Background technique [0002] TTS speech synthesis system (Text To Speech speech synthesis system), is an integral part of the intelligent dialogue system. Academia and industry are trying to achieve human-like speech synthesis with limited resources and time. In recent years, after the release of Google's Tacotron and Wavenet, the neural network method has become the mainstream solution in the field of speech synthesis. [0003] At present, the TTS model based on neural network has shown good synthesis effect, but in the process of speech synthesis, prosodic embedding is still a challenging task. After the prosodic vector is extracted from the Mel spectrum, it is input into the attention mechanism together with the output of the encoder at the attention mechanism of...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a speech synthesis method, device, computer equipment, and computer-readable storage medium, aiming at solving the problem that in the process of existing prosody control, the process of manually selecting reference speech may cause the accumulation of model errors. Technical issues with low voice accuracy

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