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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Format: | Final Year Project (FYP) |
Language: | English |
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2015
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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. |
first_indexed | 2025-02-19T03:12:53Z |
format | Final Year Project (FYP) |
id | ntu-10356/63566 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2025-02-19T03:12:53Z |
publishDate | 2015 |
record_format | dspace |
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 |