Sound based snore signal analysis using ELM

Snoring is a common symptom faced by many people. Its features can be analysed to provide insight or help in the diagnosis of sleep related disorders. This project aims to use feature extraction and a learning machine algorithm to predict the presence of snores in a given sound sample.

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Bibliographic Details
Main Author: Toh, Violet Mei Sze.
Other Authors: Ser Wee
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/50267
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-502672023-07-07T16:40:09Z Sound based snore signal analysis using ELM Toh, Violet Mei Sze. Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Snoring is a common symptom faced by many people. Its features can be analysed to provide insight or help in the diagnosis of sleep related disorders. This project aims to use feature extraction and a learning machine algorithm to predict the presence of snores in a given sound sample. Bachelor of Engineering 2012-05-31T04:35:10Z 2012-05-31T04:35:10Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50267 en Nanyang Technological University 73 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
Toh, Violet Mei Sze.
Sound based snore signal analysis using ELM
description Snoring is a common symptom faced by many people. Its features can be analysed to provide insight or help in the diagnosis of sleep related disorders. This project aims to use feature extraction and a learning machine algorithm to predict the presence of snores in a given sound sample.
author2 Ser Wee
author_facet Ser Wee
Toh, Violet Mei Sze.
format Final Year Project
author Toh, Violet Mei Sze.
author_sort Toh, Violet Mei Sze.
title Sound based snore signal analysis using ELM
title_short Sound based snore signal analysis using ELM
title_full Sound based snore signal analysis using ELM
title_fullStr Sound based snore signal analysis using ELM
title_full_unstemmed Sound based snore signal analysis using ELM
title_sort sound based snore signal analysis using elm
publishDate 2012
url http://hdl.handle.net/10356/50267
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