Improved audio segmentation methods

A fundamental aspect of audio segmentation is classification. Classification refers to placing the audio signal (or portions of the audio signal) into particular categories. There is a broad range of categories or classifications that would be beneficial in audio segmentation, including music, speec...

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Main Author: Lee, Ivan Kok Hwee.
Other Authors: Saman S Abeysekera
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/17993
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-179932023-07-07T16:22:20Z Improved audio segmentation methods Lee, Ivan Kok Hwee. Saman S Abeysekera School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing A fundamental aspect of audio segmentation is classification. Classification refers to placing the audio signal (or portions of the audio signal) into particular categories. There is a broad range of categories or classifications that would be beneficial in audio segmentation, including music, speech, environment sound, and silence. For this particular project, we will focus on the aspect of music over the other variables. Bachelor of Engineering 2009-06-18T07:33:32Z 2009-06-18T07:33:32Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17993 en Nanyang Technological University 72 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Lee, Ivan Kok Hwee.
Improved audio segmentation methods
description A fundamental aspect of audio segmentation is classification. Classification refers to placing the audio signal (or portions of the audio signal) into particular categories. There is a broad range of categories or classifications that would be beneficial in audio segmentation, including music, speech, environment sound, and silence. For this particular project, we will focus on the aspect of music over the other variables.
author2 Saman S Abeysekera
author_facet Saman S Abeysekera
Lee, Ivan Kok Hwee.
format Final Year Project
author Lee, Ivan Kok Hwee.
author_sort Lee, Ivan Kok Hwee.
title Improved audio segmentation methods
title_short Improved audio segmentation methods
title_full Improved audio segmentation methods
title_fullStr Improved audio segmentation methods
title_full_unstemmed Improved audio segmentation methods
title_sort improved audio segmentation methods
publishDate 2009
url http://hdl.handle.net/10356/17993
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