Voice database structure compression used for embedded voice synthesis system and use method thereof
A speech synthesis and embedded technology, applied in speech synthesis, speech analysis, speech recognition, etc., can solve the problems of difficulty in meeting user needs, high cost, naturalness of synthesized speech and degradation of sound quality.
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[0044] in the attached figure 1Among them, in an embodiment of the present invention, the speech synthesis system of the present invention is deployed in a kind of embedded operating system, and this embedded speech synthesis system comprises: model training part (11), text input module (103), speech synthesis part (102) and a voice signal output module (104).
[0045] Wherein, the speech synthesis model training part (11) is only used offline in the system, and is only used to generate the compressed model library (12) required for the speech synthesis system to work. Wherein training voice storehouse (7) comprises the original voice of recording, by training voice storehouse
[0046] (7) The process of generating the compressed model library (12) offline includes: HMM model training step (8), model structured compression step (9) and model secondary compression (90).
[0047] In step (8), first use the speech recognition toolkit HTK to automatically segment the recorded or...
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