Deep-learning-based audio tone quality enhancement

A deep learning and audio technology, applied in speech analysis, instruments, etc., can solve problems such as roughness and inability to restore lossless audio quality, and achieve the effect of high-efficiency audio quality

Active Publication Date: 2019-01-04
ANKER INNOVATIONS TECH CO LTD
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, there is no corresponding feasible solution for lossy audio reconstruction using software methods. For the reconstruction of los

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
  • Deep-learning-based audio tone quality enhancement
  • Deep-learning-based audio tone quality enhancement
  • Deep-learning-based audio tone quality enhancement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some embodiments of the present invention, rather than all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described here. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative effort shall fall within the protection scope of the present invention.

[0037] First, refer to figure 1 An example electronic device 100 for implementing the deep learning-based audio sound quality enhancement method, device, system, storage medium and computer program according to the embodiments of the present invent...

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 provides a deep-learning-based audio tone quality enhancement method, device, and system, a storage medium and a computer program. The method comprises: acquiring lossy audio data and performing feature extraction on the lossy audio data to obtain features of the lossy audio data; and on the basis of the features of the lossy audio data, reconstructing the lossy audio data by using atrained audio reconstruction neural network to form output audio data with the tone quality close to lossless audio data. According to the invention, the lossy audio tone quality is enhanced based ondeep learning and thus the lossy audio tone quality is close to the tone quality of the lossless audio data by deep neural network reconstruction, so that the tone quality improvement effect that cannot be realized by the traditional method is realized.

Description

technical field [0001] The present invention relates to the technical field of sound quality optimization, and more particularly relates to a deep learning-based audio sound quality enhancement method, device, system, storage medium and computer program. Background technique [0002] Sound quality usually refers to people's subjective evaluation of audio quality. There are many factors that affect the sound quality of audio. For encoded audio, a decisive factor is the degree of audio encoding compression. After the original sound is recorded, it may be a linear pulse code modulation (LPCM) format file, which is a pulse sequence after digital-to-analog conversion. In audio theory, this is the digital audio with the best sound quality and the actual scene. It is a high bit rate lossless format. However, due to the limitations of communication bandwidth and storage space, audio stored on digital devices generally needs to be encoded and compressed. Lossless compression, such...

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
IPC IPC(8): G10L21/007G10L25/30
CPCG10L21/007G10L25/30
Inventor 秦宇姚青山喻浩文卢峰
Owner ANKER INNOVATIONS TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap