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

Single-channel voice simultaneous noise reduction and reverberation removal system

A voice noise reduction and reverberation technology, applied in the field of signal processing, to achieve good sound quality and improve performance

Active Publication Date: 2020-12-01
中科极限元(杭州)智能科技股份有限公司
View PDF12 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the deficiencies in the prior art and realize that the enhanced voice has a higher sound quality when the voice contains noise and reverberation at the same time, the present invention adopts the following technical solutions:

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
  • Single-channel voice simultaneous noise reduction and reverberation removal system
  • Single-channel voice simultaneous noise reduction and reverberation removal system
  • Single-channel voice simultaneous noise reduction and reverberation removal system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0025] Such as figure 1 As shown, a single-channel voice simultaneous noise reduction and reverberation system, including: a voice noise reduction module, using a deep clustering algorithm to train a deep embedded feature extractor, extracting deep embedded features from the mixed voice signal, The input speech is mapped to an embedded space without noise, so the deep embedded feature does not contain noise, and the reverberation and direct sound are very different; the speech reverberation module is connected with the speech noise reduction module, using the Discriminatively remove the reverberant speech signal from the deep embedded features, and estimate the...

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 single-channel voice simultaneous noise reduction and reverberation removal system. The system comprises a voice noise reduction module, a voice reverberation removal moduleand a joint training module. The voice noise reduction module trains a deep embedded feature extractor by using a deep clustering algorithm, extracts deep embedded features from mixed voice signals, and maps the input mixed voice into a noise-free embedded space, so that the deep embedded features do not contain noise and have great discrimination for reverberation and direct sound; the voice reverberation removal module is connected with the voice noise reduction module and is used for removing reverberation voice signals from the deep embedded features and estimating direct sound of a cleantarget, so that the purposes of voice noise reduction and reverberation removal are achieved; and the joint training module is connected with the voice noise reduction module and the voice reverberation removal module respectively, and is used for jointly optimizing the voice noise reduction module and the voice reverberation removal module, and improving the quality and intelligibility of the enhanced voice.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a single-channel voice simultaneous noise reduction and reverberation system. Background technique [0002] Speech is one of the main means for human to communicate information, and speech noise reduction and reverberation have always occupied an important position in speech signal processing. In a real environment, speech signals often contain reverberation and noise at the same time, which will seriously affect the quality and intelligibility of speech, and have a greater impact on the performance of speech recognition and voiceprint recognition systems. Therefore, speech reverberation and noise reduction are very important. In order to solve the problem of speech reverberation, many methods have also been proposed in the past years. The Weighted Prediction Error (WPE) algorithm deals with speech dereverberation at the signal level, i.e. delayed linear prediction. ...

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 Applications(China)
IPC IPC(8): G10L21/0208G10L25/30G06N3/04G06N3/08
CPCG10L21/0208G10L25/30G06N3/08G10L2021/02082G06N3/045
Inventor 范存航温正棋
Owner 中科极限元(杭州)智能科技股份有限公司
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