Synthesizing method of personalized singing voice

Abstract

The invention relates to an individualized singing sound synthesis method, including the following steps: building up a module of the coefficient of the line spectrum frequency of the sound and obtaining a relevant decision-making tree module through training; recording the reading sounds of a special subscriber to get the module of the coefficient of the line spectrum frequency of the sound of the subscriber; obtaining the attribute set relevant to the context of the lyric of the numerical notes, and pre-estimating the frequency parameters and the time duration data of initial consonant and vowels corresponding to the lyric according to the decision-making tree module and the module of the coefficient of the individualized line spectrum frequency; building up fundamental frequency data according to the numerical notes and combining the fundamental frequency data with the time duration and frequency parameters to obtain synthesized parameters; inputting the parameters into a parameterized sound synthesis vocoder, so that individualized singing sound can be synthesized. The method of the invention can synthesize synthesis sound with singing style by adjusting a few parameters of the rhythm and can synthesize singing sound by only recording a small reciting style library.

Description

technical field [0001] The invention relates to a speech synthesis method, in particular to a synthesis method for synthesizing the singing style speech of a target speaker with only a small amount of reading style training data. Background technique [0002] In recent years, speech synthesis technology has made great progress. Since the sound quality and naturalness of the synthesized speech are good, people put forward more demands on the synthesis system, such as diversified speech synthesis, including multiple speakers, multiple Different pronunciation styles, multilingual, etc., so the model adaptive technology developed on the basis of trainable speech synthesis technology has been more and more widely used. The model adaptive technology can achieve good results when synthesizing speech with reading style , but there is not enough applied research on speech synthesis for singing style. [0003] In addition, in order to synthesize synthetic speech with singing style, r...

AI Technical Summary

Problems solved by technology

[0002] In recent years, speech synthesis technology has made great progress. Since the sound quality and naturalness of the synthesized speech are good, people put forward more demands on the synthesis system, such as diversified speech synthesis, including multiple speakers, multiple Different pronunciation styles, multilingual, etc., so the model adaptive technology developed on the basis of trainable speech synthesis technology has been more and more widely used. The model adaptive technology can achieve good results when synthesizing speech with reading style , but there is not enough applied research on speech synthesis for singing style

[0003] In addition, in order to synthesize synthetic speech with singing style, relevant resear...

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