Method for optimizing local synthesis based on distributed natural rhythm

Abstract

A method for optimizing local synthesis effect based on a distributed natural rhythm is used for transmitting natural voice rhythm information at low bit rate and locally synthesizing. The method comprises the following steps that a recording data or server-class synthetic system is used to generate front end marking information and voice rhythm information for synthesizing a text; and then, the information is downloaded locally in a network mode and is locally used to be combined with a rear end system to synthesizing. Better front end information and rear end rhythm parameters are adopted, the local synthesizing rhythm is increased, and accordingly, the local synthesizing effect is improved; and moreover, a small amount of data is occupied by the fundamental frequency and duration, so that the method has faster responding speed and less flow compared with the conventional network synthesizing mode.

Description

technical field [0001] The invention relates to a local synthesis method based on distributed natural rhythm optimization, which belongs to the application field of speech synthesis, and is mainly used in the synthesis system of electronic products such as mobile phones to improve the rhythm performance of speech synthesis and reduce network traffic. Background technique [0002] With the development of informatization, there are more and more applications of speech synthesis, but the effect of speech synthesis is also limited by some hardware conditions, resulting in a better synthesis effect that cannot be reflected in the application products, such as limited hardware space and poor network environment. Stability, user traffic limit, etc. Increasing the size of the training library can improve the effect of synthesized speech, but the storage resources will increase, and it is difficult to put it on the terminal device. If the network cloud call method is used, the synthe...

AI Technical Summary

Problems solved by technology

[0002] With the development of informatization, there are more and more applications of speech synthesis, but the effect of speech synthesis is also limited by some hardware conditions, resulting in a better synthesis effect that cannot be reflected in the application products, such as limited hardware space and poor network environment. Stability, user traffic limit, etc.

Increasing the size of the training library can improve the effect of synthesized speech, but the storage resources will increase, and it is difficult to put it on the terminal device. If the network cloud call method is used, the synthesized response will be slower when the network environment is not good. Voice data will cause relatively large user traffic

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