Web audio tagging system
Computational Auditory Scene Analysis (CASA) is the study of auditory scene analysis (ASA) by computational means [1]. The motivation is to allow a machine to have the same capabilities of a human that can separate the mixtures of sounds. In other words, according to Cherry, 1957: “One of our import...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75858 |
| _version_ | 1826117843489390592 |
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| author | Teo, Sebastian Soon Chuan |
| author2 | Gan Woon Seng |
| author_facet | Gan Woon Seng Teo, Sebastian Soon Chuan |
| author_sort | Teo, Sebastian Soon Chuan |
| collection | NTU |
| description | Computational Auditory Scene Analysis (CASA) is the study of auditory scene analysis (ASA) by computational means [1]. The motivation is to allow a machine to have the same capabilities of a human that can separate the mixtures of sounds. In other words, according to Cherry, 1957: “One of our important faculties are our abilities to listen to, and follow, one speaker in the presence of others. We may call it ‘the cocktail party problem’” [1]. The aim of our creation is given the audio, we can identify or classify dominant noise by installing sensors with an analytic computer program. The benefits from implementing this system are, with the increasing number of noise complaints in Singapore over the recent years, government agencies begin to devote more resources to investigate them. [2] However, such complaints are not easy to resolve as the aggravating sounds may stop before the authorities arrive at the site. [2] Hence, this new creation can help the agencies with their work by not only detecting the noises but also identifying them. [2] Furthermore, according to Prof Gan, director of the EEE’s Centre for Infocomm Technology (INFINITUS): “since the sensor can classify the noises, it can also alert only the relevant government agencies thus freeing up precious resources and speeding up the process of resolving the complaint.” |
| first_indexed | 2024-10-01T04:33:59Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/75858 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:33:59Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/758582023-07-07T16:59:23Z Web audio tagging system Teo, Sebastian Soon Chuan Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Computational Auditory Scene Analysis (CASA) is the study of auditory scene analysis (ASA) by computational means [1]. The motivation is to allow a machine to have the same capabilities of a human that can separate the mixtures of sounds. In other words, according to Cherry, 1957: “One of our important faculties are our abilities to listen to, and follow, one speaker in the presence of others. We may call it ‘the cocktail party problem’” [1]. The aim of our creation is given the audio, we can identify or classify dominant noise by installing sensors with an analytic computer program. The benefits from implementing this system are, with the increasing number of noise complaints in Singapore over the recent years, government agencies begin to devote more resources to investigate them. [2] However, such complaints are not easy to resolve as the aggravating sounds may stop before the authorities arrive at the site. [2] Hence, this new creation can help the agencies with their work by not only detecting the noises but also identifying them. [2] Furthermore, according to Prof Gan, director of the EEE’s Centre for Infocomm Technology (INFINITUS): “since the sensor can classify the noises, it can also alert only the relevant government agencies thus freeing up precious resources and speeding up the process of resolving the complaint.” Bachelor of Engineering 2018-06-20T09:05:03Z 2018-06-20T09:05:03Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75858 en Nanyang Technological University 125 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Teo, Sebastian Soon Chuan Web audio tagging system |
| title | Web audio tagging system |
| title_full | Web audio tagging system |
| title_fullStr | Web audio tagging system |
| title_full_unstemmed | Web audio tagging system |
| title_short | Web audio tagging system |
| title_sort | web audio tagging system |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/75858 |
| work_keys_str_mv | AT teosebastiansoonchuan webaudiotaggingsystem |