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Method and system for providing sound-library hybrid training model

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.
Owner:BEIJING SINOVOICE TECH CO LTD
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