Speech synthesis method and device

Abstract

The invention provides a speech synthesis method and a speech synthesis device. The speech synthesis method comprises the following steps: acquiring text data by taking paragraphs or chapters as units; recording when a speech maker reads the text data, so as to obtain the voice data corresponding to the text data, wherein the speech maker performs personal emotion expression by combining with the text data when the speech maker reads the text data; generating a rhythm model, and generating an acoustic model according to the text data and the voice data; and during speech synthesis, carrying out treatment on the input text according to the pre-generated rhythm model and the acoustic model, so as to obtain the synthesized speech corresponding to the input text. With the adoption of the method, the emotion expression force of the synthesized speech can be improved.

Description

technical field [0001] The invention relates to the technical field of speech processing, in particular to a speech synthesis method and device. Background technique [0002] Speech synthesis, also known as text-to-speech (Text to Speech) technology, can convert any text information into a standard and smooth voice in real time, which is equivalent to installing an artificial mouth on the machine. For a speech synthesis system, it is first necessary to process the input text, including preprocessing, word segmentation, part-of-speech tagging, phonetic notation, prosodic level prediction, etc., then predict the acoustic parameters through the acoustic model, and finally use the acoustic parameters to directly synthesize the sound through the vocoder , or select units from the recording corpus for splicing. [0003] In order to realize the above text-to-speech synthesis, data preparation needs to be performed in advance. In the prior art, when preparing data, the corpus is g...

AI Technical Summary

Problems solved by technology

This will make it difficult for the prepared data to express the emotional information contained in the corpus content, thus making the synthetic speech lack of emotional expressiveness.

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