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Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods

This work consists of analysis of speech using RASTA and DTW methods. The analysis is based on the speech recognition. Speech recognition converts identified words or speech in spoken language into computer-readable format. The first speech recognition has been developed in the year of 1950s. The...

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Main Author: Zulkifly, Muhammad Amirul Azzim
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/22972/1/FYP%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/22972/
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spelling my-utp-utpedia.229722022-03-07T07:22:29Z http://utpedia.utp.edu.my/22972/ Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods Zulkifly, Muhammad Amirul Azzim TK Electrical engineering. Electronics Nuclear engineering This work consists of analysis of speech using RASTA and DTW methods. The analysis is based on the speech recognition. Speech recognition converts identified words or speech in spoken language into computer-readable format. The first speech recognition has been developed in the year of 1950s. The variation of speech spoken by individual becomes the main challenge for the speech recognition. Speech recognition has application in many areas such as customer call centers and as a medium in helping those with learning disabilities. This work presents an analysis of speech for Malay single words. There are three stages in speech recognition which are analysis, feature extraction and modeling. The Relative Spectral Filtering (RASTA) is used as the method for feature extraction. RASTA is a method that subsidized the undesirable and additive noise in speech recognition. Dynamic Time Warping (DTW) method is used as the modelling technique. Universiti Teknologi PETRONAS 2017-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22972/1/FYP%20Final%20Dissertation.pdf Zulkifly, Muhammad Amirul Azzim (2017) Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods. Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zulkifly, Muhammad Amirul Azzim
Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods
description This work consists of analysis of speech using RASTA and DTW methods. The analysis is based on the speech recognition. Speech recognition converts identified words or speech in spoken language into computer-readable format. The first speech recognition has been developed in the year of 1950s. The variation of speech spoken by individual becomes the main challenge for the speech recognition. Speech recognition has application in many areas such as customer call centers and as a medium in helping those with learning disabilities. This work presents an analysis of speech for Malay single words. There are three stages in speech recognition which are analysis, feature extraction and modeling. The Relative Spectral Filtering (RASTA) is used as the method for feature extraction. RASTA is a method that subsidized the undesirable and additive noise in speech recognition. Dynamic Time Warping (DTW) method is used as the modelling technique.
format Final Year Project
author Zulkifly, Muhammad Amirul Azzim
author_facet Zulkifly, Muhammad Amirul Azzim
author_sort Zulkifly, Muhammad Amirul Azzim
title Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods
title_short Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods
title_full Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods
title_fullStr Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods
title_full_unstemmed Speech Analysis using Relative Spectral Filtering (RASTA) and Dynamic Time Warping (DTW) methods
title_sort speech analysis using relative spectral filtering (rasta) and dynamic time warping (dtw) methods
publisher Universiti Teknologi PETRONAS
publishDate 2017
url http://utpedia.utp.edu.my/22972/1/FYP%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/22972/
_version_ 1739833014686318592
score 13.160551

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