Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Training method of voice bandwidth expansion model and voice bandwidth expansion method

A technology of bandwidth expansion and training method, applied in the field of intelligent information, can solve the problem of sound quality damage of vocoder module, and achieve the effect of reducing computational complexity, meeting delay requirements, and high robustness

Active Publication Date: 2020-10-02
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using this method to expand the voice bandwidth, the vocoder module will cause damage to the sound quality during the voice analysis and synthesis process

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Training method of voice bandwidth expansion model and voice bandwidth expansion method
  • Training method of voice bandwidth expansion model and voice bandwidth expansion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0053] It should be noted that, in the drawings or descriptions of the specification, similar or identical parts all use the same figure numbers. Implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. In the absence of specific limitations or conflicts, various embodiments of the present invention and technical features therein may be combined with each other to form a technical solution. Additionally, while illustrations of parameters including particular values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values ​​within acceptabl...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a training method of a voice bandwidth expansion model and a voice bandwidth expansion method, wherein the voice bandwidth expansion method comprises the following steps: acquiring to-be-expanded narrowband voice; calculating an amplitude spectrum and a phase spectrum of the to-be-expanded narrowband voice, and extracting auxiliary characteristics of the to-be-expanded narrowband voice ; processing the amplitude spectrum and the auxiliary characteristics of the to-be-expanded narrowband voice by virtue of the voice bandwidth expansion model which is obtained from training, so that the amplitude spectrum of a reconstructed bandwidth voice high-frequency band can be obtained; conducting mirror image reversing on the phase spectrum of the to-be-expanded narrowband voice in a frequency domain, and determining the phase spectrum of the bandwidth voice high-frequency band; and on the basis of the amplitude spectrum and the phase spectrum of the narrowband voice, and in combination with the amplitude spectrum and the phase spectrum of the reconstructed bandwidth voice high-frequency band, determining a bandwidth voice signal. With the application of the voice bandwidth expansion method provided by the invention, an effect of improving the tone quality and naturalness of the narrowband voice can be achieved.

Description

technical field [0001] The embodiment of the present invention relates to the field of intelligent information technology, and in particular to a training method of a voice bandwidth expansion model and a voice bandwidth expansion method. Background technique [0002] With the development of communication technology, broadband voice communication will replace narrowband voice communication in the near future. However, in order to ensure the transmission of broadband voice signals, a new network environment needs to be built to support higher rates and larger bandwidths, and communication terminals are required to have the ability to process broadband signals. This method is not only costly but also time-consuming . However, it is difficult for the traditional telephone network to realize real broadband voice transmission in a short period of time. An effective solution is to process the narrowband voice at the terminal of the communication system, and artificially add some...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G10L21/038G10L25/30
CPCG10L21/038G10L25/30
Inventor 陶建华刘斌
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com