Smart computers : can you recognise these sounds?

Sound recognition technology has been around for quite some time but is not widely recognised by day to day IT users. It even exists within the latest mobile phones on the market with technology such as Apple's Siri and Samsung's S voice. This report will explore the use of sound recogniti...

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Bibliographic Details
Main Author: Tan, Li Qing
Other Authors: Kong Andy Wai Hoong
Format: Final Year Project (FYP)
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63566
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author Tan, Li Qing
author2 Kong Andy Wai Hoong
author_facet Kong Andy Wai Hoong
Tan, Li Qing
author_sort Tan, Li Qing
collection NTU
description Sound recognition technology has been around for quite some time but is not widely recognised by day to day IT users. It even exists within the latest mobile phones on the market with technology such as Apple's Siri and Samsung's S voice. This report will explore the use of sound recognition and how it may be put in certain places or situations whereby it will greatly benefit law enforcers or road users. The process of how experiments are conducted and the methodology used in setting up the experiment will be explained in depth. The sound classification process will be trained using the Support Vector Machine and thereafter be tested in real time scenarios to see how accurately the program can predict a particular sound. As experiment and sample data were collected in an enclosed room, the test is only accurate if conducted in an environment with similar ambience. Results may differ if the system is taken out to a different environment for testing.
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spelling ntu-10356/635662023-07-07T17:43:01Z Smart computers : can you recognise these sounds? Tan, Li Qing Kong Andy Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Sound recognition technology has been around for quite some time but is not widely recognised by day to day IT users. It even exists within the latest mobile phones on the market with technology such as Apple's Siri and Samsung's S voice. This report will explore the use of sound recognition and how it may be put in certain places or situations whereby it will greatly benefit law enforcers or road users. The process of how experiments are conducted and the methodology used in setting up the experiment will be explained in depth. The sound classification process will be trained using the Support Vector Machine and thereafter be tested in real time scenarios to see how accurately the program can predict a particular sound. As experiment and sample data were collected in an enclosed room, the test is only accurate if conducted in an environment with similar ambience. Results may differ if the system is taken out to a different environment for testing. Bachelor of Engineering 2015-05-15T03:10:26Z 2015-05-15T03:10:26Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63566 en Nanyang Technological University 44 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Tan, Li Qing
Smart computers : can you recognise these sounds?
title Smart computers : can you recognise these sounds?
title_full Smart computers : can you recognise these sounds?
title_fullStr Smart computers : can you recognise these sounds?
title_full_unstemmed Smart computers : can you recognise these sounds?
title_short Smart computers : can you recognise these sounds?
title_sort smart computers can you recognise these sounds
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
url http://hdl.handle.net/10356/63566
work_keys_str_mv AT tanliqing smartcomputerscanyourecognisethesesounds