Get rid of the noise! : A speech enhancement technology using microphone arrays

Get rid of the noise! : A speech enhancement technology using microphone arrays

Blind source separation (BSS) is the process that the speech signals of multiple speakers are extracted from a given mixture, with little or no information about the sources and the mixing process. This project is aiming at designing and developing an application on Android devices for impleme...

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Main Author: Xiong, Heyuhang
Other Authors: Andy Khong W H
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/150482
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1504822023-07-07T18:23:12Z Get rid of the noise! : A speech enhancement technology using microphone arrays Xiong, Heyuhang Andy Khong W H School of Electrical and Electronic Engineering AndyKhong@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Blind source separation (BSS) is the process that the speech signals of multiple speakers are extracted from a given mixture, with little or no information about the sources and the mixing process. This project is aiming at designing and developing an application on Android devices for implementing BSS. The algorithm this application uses is directional sparse filtering (DSF), based on one of the most popular BSS methods, sparse component analysis (SCA). Compared to the existing application with similar functions, this application shows significant efficiency improvement and separated audio quality enhancement. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-14T05:21:48Z 2021-06-14T05:21:48Z 2021 Final Year Project (FYP) Xiong, H. (2021). Get rid of the noise! : A speech enhancement technology using microphone arrays. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150482 https://hdl.handle.net/10356/150482 en A3016-201 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Xiong, Heyuhang
Get rid of the noise! : A speech enhancement technology using microphone arrays
description Blind source separation (BSS) is the process that the speech signals of multiple speakers are extracted from a given mixture, with little or no information about the sources and the mixing process. This project is aiming at designing and developing an application on Android devices for implementing BSS. The algorithm this application uses is directional sparse filtering (DSF), based on one of the most popular BSS methods, sparse component analysis (SCA). Compared to the existing application with similar functions, this application shows significant efficiency improvement and separated audio quality enhancement.
author2 Andy Khong W H
author_facet Andy Khong W H
Xiong, Heyuhang
format Final Year Project
author Xiong, Heyuhang
author_sort Xiong, Heyuhang
title Get rid of the noise! : A speech enhancement technology using microphone arrays
title_short Get rid of the noise! : A speech enhancement technology using microphone arrays
title_full Get rid of the noise! : A speech enhancement technology using microphone arrays
title_fullStr Get rid of the noise! : A speech enhancement technology using microphone arrays
title_full_unstemmed Get rid of the noise! : A speech enhancement technology using microphone arrays
title_sort get rid of the noise! : a speech enhancement technology using microphone arrays
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/150482
_version_ 1772826113939079168

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