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Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting
A new voice activity detector for noisy environments is proposed. In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain. However, since the frame energy feature is unstable in noisy environments, it i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142156/ https://www.ncbi.nlm.nih.gov/pubmed/25170520 http://dx.doi.org/10.1155/2014/146040 |
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author | Park, Jinsoo Kim, Wooil Han, David K. Ko, Hanseok |
author_facet | Park, Jinsoo Kim, Wooil Han, David K. Ko, Hanseok |
author_sort | Park, Jinsoo |
collection | PubMed |
description | A new voice activity detector for noisy environments is proposed. In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain. However, since the frame energy feature is unstable in noisy environments, it is difficult to accurately find the endpoint of speech. Therefore, a novel feature extraction algorithm based on the double-combined Fourier transform and envelope line fitting is proposed. It is combined with an edge detection filter for effective detection of endpoints. Effectiveness of the proposed algorithm is evaluated and compared to other VAD algorithms using two different databases, which are AURORA 2.0 database and SITEC database. Experimental results show that the proposed algorithm performs well under a variety of noisy conditions. |
format | Online Article Text |
id | pubmed-4142156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41421562014-08-28 Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting Park, Jinsoo Kim, Wooil Han, David K. Ko, Hanseok ScientificWorldJournal Research Article A new voice activity detector for noisy environments is proposed. In conventional algorithms, the endpoint of speech is found by applying an edge detection filter that finds the abrupt changing point in a feature domain. However, since the frame energy feature is unstable in noisy environments, it is difficult to accurately find the endpoint of speech. Therefore, a novel feature extraction algorithm based on the double-combined Fourier transform and envelope line fitting is proposed. It is combined with an edge detection filter for effective detection of endpoints. Effectiveness of the proposed algorithm is evaluated and compared to other VAD algorithms using two different databases, which are AURORA 2.0 database and SITEC database. Experimental results show that the proposed algorithm performs well under a variety of noisy conditions. Hindawi Publishing Corporation 2014 2014-08-06 /pmc/articles/PMC4142156/ /pubmed/25170520 http://dx.doi.org/10.1155/2014/146040 Text en Copyright © 2014 Jinsoo Park et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Park, Jinsoo Kim, Wooil Han, David K. Ko, Hanseok Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting |
title | Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting |
title_full | Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting |
title_fullStr | Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting |
title_full_unstemmed | Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting |
title_short | Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting |
title_sort | voice activity detection in noisy environments based on double-combined fourier transform and line fitting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142156/ https://www.ncbi.nlm.nih.gov/pubmed/25170520 http://dx.doi.org/10.1155/2014/146040 |
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