A method and system for providing sound bank hybrid training model

Abstract

The invention discloses a method for providing a sound-library hybrid training model, which comprises the following steps: according to a selected sound-recording corpus used as a sample, acquiring sound signals of at least two speakers so as to obtain at least two sets of sound-recording data; extracting the parameter information of a sound from each set of sound-recording data, wherein the parameter information of the sound comprises at least one of pitch, spectrum and duration; and carrying out statistical analysis on the sound parameters so as to obtain a parameter model. The invention also discloses a corresponding system for providing a sound-library hybrid training model. According to the invention, based on the existing sound synthesis technology, in the process of model training, a plurality of sound-library hybrid training models, namely, the sound library data of a plurality of speakers, are placed together and trained, and finally, the trained model tends to the average parameter of a plurality of speakers or the optimal parameter of a single speaker, thereby obtaining a relatively stable model. By using the method and system disclosed by the invention, the requirements on speakers can be reduced, and the cost of sound recording can be reduced; meanwhile, the model training process can be completed more easily, so that the synthetic sound is more natural.

Description

technical field [0001] The invention relates to the technical field, in particular to a method and a system for providing a sound bank mixed training model. Background technique [0002] Speech synthesis is an important technology to realize natural and efficient human-computer interaction. Speech synthesis technology is TTS. Simply put, it is to let the computer "speak", which is to use the computer to convert any combination of text files into sound files, and output the sound through multimedia devices, that is, to automatically convert any text into voice information and play it to the audience. user. There are two most common speech synthesis methods today, one is a synthesis method based on unit selection and waveform splicing, and the other is a parametric synthesis method based on an acoustic statistical model. [0003] In the traditional unit selection algorithm, the target cost and connection cost are often realized by calculating the difference of the context at...

AI Technical Summary

Problems solved by technology

Due to the relatively high quality requirements for the speaker's recording, a high-level announcer is required, and the cost is high

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