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Audio data fusion method

A technology of audio data and fusion methods, applied in speech synthesis, speech analysis, instruments, etc., can solve the problems of poor anthropomorphic effect of audio quality, and achieve the effect of improving quality and high quality

Inactive Publication Date: 2019-04-12
盐城雪堰机械设备有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art, the audio quality obtained by speech synthesis is poor in anthropomorphic effect

Method used

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Embodiment Construction

[0017] An audio data fusion method provided by an embodiment of the present invention specifically includes the following steps: firstly, audio data to be processed is acquired. Audio data may be text or features or feature items of text. The features of the text can be characters in the text, pronunciation, prosody and stress of words or words. Feature items can be characters, words or phrases, etc. Feature items need to have the following characteristics: be able to identify the text content, have the ability to distinguish the target text from other texts, and feature item separation is easy to achieve.

[0018] The voice interaction signal sent by the user is received, and the audio data corresponding to the voice interaction signal is searched from a preset linguistic library. For example, during the voice interaction between the user and the terminal, if the terminal receives a voice interaction signal from the user saying "Which is more beautiful, Xi Shi or Diao Chan"...

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Abstract

The invention discloses an audio data fusion method and aims to obtain first encoded data representing pronunciation by acquiring audio data to be processed for a first time and encoding the audio data. An embedding vector for voice feature conversion is acquired, and since the embedding vector is generated from a residual difference of reference fusion audio data corresponding to identical reference audio data and reference voice data, the obtained embedding vector is a style feature vector without semantic features. First encoded data are decoded according to the embedding vector, and processing influence of the semantic features upon the first encoded data is avoided, so that obtained target fusion audio data is high in quality.

Description

technical field [0001] The present application relates to the technical field of audio synthesis, in particular to an audio data fusion method. Background technique [0002] Speech synthesis and speech recognition technologies are two key technologies necessary to realize man-machine voice communication and establish a spoken language system capable of listening and speaking. It is an important competitive market for the information industry in today's era to make computers have the same ability to speak as human beings. Compared with speech recognition, the technology of speech synthesis is relatively mature, and has begun to successfully move towards industrialization, and large-scale application is just around the corner. [0003] Speech synthesis can convert any text information into a standard and smooth voice in real time, which is equivalent to installing an artificial mouth on the machine. It involves multiple disciplines such as acoustics, linguistics, digital sig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/00G10L13/02G10L13/08
CPCG10L13/02G10L13/08G10L19/00
Inventor 张敏
Owner 盐城雪堰机械设备有限公司