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Intelligent voice digital communication method based on deep learning model

A digital communication and intelligent voice technology, which is applied in the field of mobile voice communication, OTT voice communication and intelligent agent system, can solve the problems of inability to identify and suppress background noise and transmission noise, so as to improve the utilization rate of transmission resources, ensure the transmission environment, The effect of improving stability and reliability

Pending Publication Date: 2021-03-02
远传融创(杭州)科技有限公司
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Problems solved by technology

[0002] During voice communication, voice call quality is often affected by many factors, such as: voice coding technology compresses voice, which has a certain impact on voice quality; voice technology solutions are affected by wireless environment, network equipment and call environment, Unavoidable problems such as packet loss, bit error, and jitter that affect call quality; problems such as the inability to identify and suppress background noise and transmission noise

Method used

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  • Intelligent voice digital communication method based on deep learning model
  • Intelligent voice digital communication method based on deep learning model
  • Intelligent voice digital communication method based on deep learning model

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] As shown in the accompanying drawing: an intelligent voice digital communication method based on a deep learning model, including a voice input terminal, the voice input terminal converts voice into a text output terminal through analog-to-digital conversion; the text output terminal is output through a digital communication subsystem in the digital-to-analog conversion; the digital-to-analog conversion is output at the voice receiving end. Through the intelligent translation technology based on deep learning, the three-dimensional information of speech is output: speech text information, language features and acoustic features. In the process of digital communication, only three-dimensional information needs to be transmitted, and no voice codec is required to avoid the impact of codec on voice quality. After the voice receiver receives the 3D information, the...

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PUM

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Abstract

The invention discloses an intelligent voice digital communication method based on a deep learning model, and the method comprises the steps: a voice input end converts voice into a text output end through analog-to-digital conversion; the text output end is output to digital-to-analog conversion through a digital communication subsystem; and the digital-to-analog conversion is output to a voice receiving end. The invention provides the intelligent voice digital communication method based on a deep learning model, and the method can effectively achieve the zero-distortion output of voice to the receiving end through the intelligent voice model based on deep learning.

Description

technical field [0001] The invention relates to the field of mobile voice communication, OTT voice communication and intelligent agent system. Background technique [0002] During voice communication, voice call quality is often affected by many factors, such as: voice coding technology compresses voice, which has a certain impact on voice quality; voice technology solutions are affected by wireless environment, network equipment and call environment, Unavoidable problems such as packet loss, bit error, and jitter that affect call quality; problems such as the inability to identify and suppress background noise and transmission noise. Contents of the invention [0003] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides an intelligent voice digital communication method based on a deep learning model, which can effectively output zero distortion of voice to the receiving end through the intelligent voice model bas...

Claims

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Application Information

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IPC IPC(8): G10L15/26G10L15/20G10L15/16G10L15/02G10L13/047G10L13/04G10L21/0208G10L19/18G06N20/00
CPCG10L15/20G10L15/16G10L15/02G10L13/047G10L21/0208G10L19/18G06N20/00
Inventor 陈健李焱何磊华
Owner 远传融创(杭州)科技有限公司
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