Device and method for automatic voice synthesis

Abstract

The invention discloses a device for automatic voice synthesis. The device comprises an extracting module, an enhanced detection module, a comprehensive labeling module, a verification screening module and a voice synthesis module. The extracting module is used for automatically extracting voice data out of voice communication; the enhanced detection module is used for automatically distinguishing voices, in the voice data, of more than one person, classifying the distinguished voice data, and dynamically updating the classified voice data; the comprehensive labeling module is used for automatically labeling the classified voice data, and generating labeled information; the verification screening module is used for screening out the voice data which accord with predetermined criteria, and generating corresponding synthetic models through model transformation; the voice synthesis module is used for outputting voices of corresponding users according to the synthetic models. The device for automatic voice synthesis has the advantages of being short in period, low in cost and capable of achieving automatic accumulation.

Description

technical field [0001] The invention relates to the field of mobile device communication applications, in particular to an automatic speech synthesis device and method. Background technique [0002] Existing speech synthesis systems are synthesized based on data representing the speaker's speech signal, so the synthesized speech signal sounds blunt, expresses unnaturally, and cannot accurately express the speaker's emotion. Moreover, once the speech synthesis system is formed, it is generally the same as the previous part and lacks changes. If you use it for a long time, it will not only feel boring, but also have low usage and attractiveness; it will also bring sleepiness to the user, which is very dangerous in a typical scene of driving. Therefore, users need more varied and more intimate voices, for example, hope that the synthesized voice will resemble their relatives, friends, or contacts in their mobile phones. [0003] The existing speech synthesis database usually ...

AI Technical Summary

Problems solved by technology

This method uses speech recognition to assist part of the labeling of the TTS library, but manual inspection is still required

Furthermore, this method only uses speech recognition technology to assist part of the annotation, but still needs to record the corpus, and is very sensitive to small annotation errors

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