Speech synthesis method and device, and medium

A speech synthesis and speech technology, applied in the Internet field, can solve the problems of reduced speech synthesis work efficiency, reduced speech synthesis work efficiency, poor speech synthesis effect, etc.
CN112863475AActive Publication Date: 2021-05-28北京中关村科金技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
北京中关村科金技术有限公司
Publication Date
2021-05-28

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Abstract

The invention discloses a speech synthesis method and device, and a storage medium. The method comprises the following steps: obtaining a to-be-synthesized target number, and determining two to-be-synthesized target number units needed for synthesizing the speech of the to-be-synthesized target number according to a preset rule, wherein the two to-be-synthesized target digital units are divided into a low-order to-be-synthesized target digital unit and a high-order to-be-synthesized target digital unit according to digits where the two to-be-synthesized target digital units are located; respectively determining voice samples corresponding to the to-be-synthesized target digital units in a pre-recorded digital voice library; intercepting voice units of to-be-synthesized target digits from the voice samples; and synthesizing the voice of the to-be-synthesized target number by using the voice unit. According to the embodiment of the invention, the working efficiency of speech synthesis and the speech synthesis quality can be improved at the same time.
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Description

technical field

[0001] The present application relates to the Internet field, in particular to a voice synthesis method, device and medium. Background technique

[0002] With the rapid development of Internet technology, speech synthesis technology has sprung up to meet the needs of various industries for intelligent speech. At present, speech synthesis technology is divided into the following three methods: synthesis based on splicing, end-to-end synthesis, and parameter-based synthesis. The splicing-based method is based on the splicing of individual recording segments, so a relatively comprehensive recording library is required, resulting in the need for The workload of the recorded recording library is heavy, which reduces the work efficiency of speech synthesis; end-to-end synthesis is a deep learning method, which also requires a large number of high-quality recording data samples for model training; although the method based on parameter synthesis does not require a l...

Claims

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