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Speech signal reconstruction method and device

A speech signal and signal technology are applied in the field of speech signal reconstruction methods and devices to achieve the effects of high reconstruction efficiency and strong correlation

Active Publication Date: 2020-06-02
TSINGHUA UNIV
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Problems solved by technology

In the prior art, there is no method for decomposing and reconstructing speech signals based on content and speakers

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  • Speech signal reconstruction method and device
  • Speech signal reconstruction method and device
  • Speech signal reconstruction method and device

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Embodiment Construction

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] figure 1 It shows a schematic flow chart of the speech signal reconstruction method provided by an embodiment of the present invention, as shown in figure 1 As shown, the speech signal reconstruction method in this embodiment is as follows.

[0051] 101. Acquire a sample speech signal, and convert the sample speech signal x(t) into a log ...

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Abstract

The invention provides a voice signal reconstruction method and apparatus, wherein the method comprises: acquiring a sample voice signal and converting the same into a log-domain spectrum; extracting the content factor of each frame of sample voice signal by using a pre-trained content factor extraction model; extracting the speaker factor of each frame of sample voice signal by using a pre-trained speaker factor extraction model; training a content spectrum reconstruction model and a voiceprint spectrum reconstruction model based on the content factors and the speaker factors; inputting a target voice signal into the voiceprint spectrum reconstruction model to obtain a voiceprint spectrum in the target voice signal, and inputting the target voice signal into the content spectrum reconstruction model to obtain a content spectrum in the target voice signal; and adding the content spectrum and the voiceprint spectrum to obtain the reconstructed log-domain spectrum of the target voice signal. The voice signal reconstruction method and apparatus can decompose and reconstruct the voice signal based on the content and the speaker, has stronger correlation with tasks, and has high reconstruction efficiency. The reconstructed voice signal is relatively similar to the original voice signal.

Description

technical field [0001] The invention relates to the technical field of speech signal processing, in particular to a speech signal reconstruction method and device. Background technique [0002] The reconstruction of speech signal usually refers to analyzing the speech signal at the sending end, extracting the characteristic parameters of the speech signal, encoding and encrypting them, so as to obtain the matching with the channel, and transmitting them to the receiving end through the information channel. The characteristic parameters restore (reconstruct) the original speech waveform. [0003] However, the existing speech signal reconstruction methods are generally based on the source-filter (Source-Filter) model, which decomposes the speech signal x(t) into two parts: glottal excitation e(t) and vocal tract modulation h(t) , written in convolutional form as follows: [0004] x(t)=x(t)×e(t). [0005] This basic decomposition method is the basis of many speech signal pro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L13/033G10L13/08G10L17/04G10L25/18
CPCG10L13/033G10L13/08G10L25/18
Inventor 王东李蓝天
Owner TSINGHUA UNIV
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