A study of the characteristics of wheeze, cough, and speech sounds

Over the years, many studies have developed signal processing algorithms to automatically detect the presence of wheeze in a controlled environment. However, little research was done in a practical environment where a mixture of other sounds such as cough and speech could be present. The objective o...

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Main Author: Ng, Celestine RuiTing
Other Authors: Ser Wee
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75293
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-752932023-07-07T15:58:12Z A study of the characteristics of wheeze, cough, and speech sounds Ng, Celestine RuiTing Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering Over the years, many studies have developed signal processing algorithms to automatically detect the presence of wheeze in a controlled environment. However, little research was done in a practical environment where a mixture of other sounds such as cough and speech could be present. The objective of this project was to study the characteristics of sounds produced by wheeze, cough and speech. Feature extraction methods used for this research was Mel-Frequency Cepstral Coefficients (20 MFCCs), Entropy Mean, Entropy Difference and Entropy Ratio. Out of the 23 features extracted by the mentioned proposed feature extraction algorithms, 2 best features were selected using Fisher’s Ratio method with a threshold value of 0.5. Characterisation was done using a 2-Dimensional (2D) representation and data samples were modelled in rectangular shape, then further enhanced to a rotated ellipse. A validation test was carried out to measure the overall characterisation accuracy for the elliptic model which yielded a percentage of approximately 92.2%. The project was further improved beyond its scope, and a simple classification method was used. This was done by plotting linear lines to distinctively separate the classes of sounds into different regions. The accuracy of the classification method used in this project was approximately 88.84%. Bachelor of Engineering 2018-05-30T07:47:56Z 2018-05-30T07:47:56Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75293 en Nanyang Technological University 47 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
spellingShingle DRNTU::Engineering
Ng, Celestine RuiTing
A study of the characteristics of wheeze, cough, and speech sounds
description Over the years, many studies have developed signal processing algorithms to automatically detect the presence of wheeze in a controlled environment. However, little research was done in a practical environment where a mixture of other sounds such as cough and speech could be present. The objective of this project was to study the characteristics of sounds produced by wheeze, cough and speech. Feature extraction methods used for this research was Mel-Frequency Cepstral Coefficients (20 MFCCs), Entropy Mean, Entropy Difference and Entropy Ratio. Out of the 23 features extracted by the mentioned proposed feature extraction algorithms, 2 best features were selected using Fisher’s Ratio method with a threshold value of 0.5. Characterisation was done using a 2-Dimensional (2D) representation and data samples were modelled in rectangular shape, then further enhanced to a rotated ellipse. A validation test was carried out to measure the overall characterisation accuracy for the elliptic model which yielded a percentage of approximately 92.2%. The project was further improved beyond its scope, and a simple classification method was used. This was done by plotting linear lines to distinctively separate the classes of sounds into different regions. The accuracy of the classification method used in this project was approximately 88.84%.
author2 Ser Wee
author_facet Ser Wee
Ng, Celestine RuiTing
format Final Year Project
author Ng, Celestine RuiTing
author_sort Ng, Celestine RuiTing
title A study of the characteristics of wheeze, cough, and speech sounds
title_short A study of the characteristics of wheeze, cough, and speech sounds
title_full A study of the characteristics of wheeze, cough, and speech sounds
title_fullStr A study of the characteristics of wheeze, cough, and speech sounds
title_full_unstemmed A study of the characteristics of wheeze, cough, and speech sounds
title_sort study of the characteristics of wheeze, cough, and speech sounds
publishDate 2018
url http://hdl.handle.net/10356/75293
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