Emotional Chinese text human voice synthesis method

Abstract

The invention discloses an emotional Chinese text human voice synthesis method, which mainly comprises the steps of: (1) constructing an emotional corpus; (2) and performing emotional speech synthesisbased on waveform splicing. The emotional corpus establishment is mainly implemented by the steps of: (11) segmenting terms and acquiring parts of speech of the terms; (12) performing speech segmentation, and acquiring audio data corresponding to segmented terms based on speech data features and text corpora; (13) and performing emotion analysis, and acquiring emotional feature values of terms, clauses and whole sentences based on text term segmentation and audio features. The emotional speech synthesis based on waveform splicing is implemented by the steps of: (21) segmenting terms and performing emotion analysis on a text to be synthesized, and acquiring parts of speech of words, sentence patterns and emotional features in the text to be synthesized; (22) selecting the optimal corpus, and carrying out matching to obtain the optimal corpus set based on text eigenvalues; (23) and perfomring speech synthesis and waveform splicing, extracting a word audio sequence set from the corpus set, and synthesizing the audio to output a final speech. The emotional Chinese text human voice synthesis method is used for synthesizing and outputting a true human voice speech with emotional features.

Description

technical field [0001] The invention relates to speech synthesis technology, in particular to an emotional Chinese text human voice synthesis method. Background technique [0002] With the popularization of smart phones, speech synthesis engines are also developing very rapidly. At present, there are many mature Chinese speech synthesis applications in the domestic market, but because Chinese is a tone language with intonation, its intonation is composed of multiple It is caused by various factors, including sentence pattern, part of speech, expressed emotion, etc. It is different from the intonation of pure intonation language, so there are many problems when dealing with Chinese intonation, which directly leads to the current Chinese speech synthesis engine getting The pronunciation results of the speakers are relatively stiff and unnatural, and there is a big difference from the results of native Chinese speakers. Therefore, in the process of human-computer interaction, ...

AI Technical Summary

Problems solved by technology

[0002] With the popularization of smart phones, speech synthesis engines are also developing very rapidly. At present, there are many mature Chinese speech synthesis applications in the domestic market, but because Chinese is a tone language with intonation, its intonation is composed of multiple It is caused by various factors, including sentence pattern, part of speech, expressed emotion, etc. It is different from the intonation of a pure intonation language, so there are many problems in dealing with Chinese intonation, which directly leads to the current Chinese speech synthesis engine getting The results of the pronunciation are relatively stiff and unnatural, and there is a big difference from the results of native Chinese speakers

Therefore, in the process of human-computer interaction, the voice expression of the machine is very blunt, making the interaction process unable to continue better.

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