Sound-event classification for robot hearing

Sound event classification is one of the hot topics attracting a lot of researches on different methods of achieving it. Environmental sound classifications are useful in surveillances and in robots hearings. There are multiple ways to classify the sound events and in this paper, machine learning me...

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Bibliographic Details
Main Author:	Khine, Su Wai
Other Authors:	Jiang Xudong
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2020
Subjects:	Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/140482
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-140482
record_format	dspace
spelling	sg-ntu-dr.10356-1404822023-07-07T18:46:10Z Sound-event classification for robot hearing Khine, Su Wai Jiang Xudong School of Electrical and Electronic Engineering EXDJiang@ntu.edu.sg Engineering::Electrical and electronic engineering Sound event classification is one of the hot topics attracting a lot of researches on different methods of achieving it. Environmental sound classifications are useful in surveillances and in robots hearings. There are multiple ways to classify the sound events and in this paper, machine learning method using MatLab is implemented. The model is built and trained and have achieved the accuracy rate of 85%. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-29T07:53:07Z 2020-05-29T07:53:07Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140482 en P3046-182 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
spellingShingle	Engineering::Electrical and electronic engineering Khine, Su Wai Sound-event classification for robot hearing
description	Sound event classification is one of the hot topics attracting a lot of researches on different methods of achieving it. Environmental sound classifications are useful in surveillances and in robots hearings. There are multiple ways to classify the sound events and in this paper, machine learning method using MatLab is implemented. The model is built and trained and have achieved the accuracy rate of 85%.
author2	Jiang Xudong
author_facet	Jiang Xudong Khine, Su Wai
format	Final Year Project
author	Khine, Su Wai
author_sort	Khine, Su Wai
title	Sound-event classification for robot hearing
title_short	Sound-event classification for robot hearing
title_full	Sound-event classification for robot hearing
title_fullStr	Sound-event classification for robot hearing
title_full_unstemmed	Sound-event classification for robot hearing
title_sort	sound-event classification for robot hearing
publisher	Nanyang Technological University
publishDate	2020
url	https://hdl.handle.net/10356/140482
_version_	1772828171094196224

Sound-event classification for robot hearing

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