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Correlated lip motion and voice audio data
This data set is comprised of correlated audio and lip movement data in multiple videos of multiple subjects reading the same text. It was collected to facilitate the development and validation of algorithms used to train and test a compound biometric system that consists of lip-motion and voice rec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218630/ https://www.ncbi.nlm.nih.gov/pubmed/30417045 http://dx.doi.org/10.1016/j.dib.2018.10.043 |
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author | Colasito, Marco Straub, Jeremy Kotala, Pratap |
author_facet | Colasito, Marco Straub, Jeremy Kotala, Pratap |
author_sort | Colasito, Marco |
collection | PubMed |
description | This data set is comprised of correlated audio and lip movement data in multiple videos of multiple subjects reading the same text. It was collected to facilitate the development and validation of algorithms used to train and test a compound biometric system that consists of lip-motion and voice recognition. The data set is a collection of videos of volunteers reciting a fixed script that is intended to be used to train software to recognize voice and lip-motion patterns. A second video is included of the individual reciting a shorter phrase, which is designed to be used to test the recognition functionality of the system. The recordings were collected in a controlled, indoor setting with a 4K professional-grade camcorder and adjustable, LED lights. |
format | Online Article Text |
id | pubmed-6218630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62186302018-11-09 Correlated lip motion and voice audio data Colasito, Marco Straub, Jeremy Kotala, Pratap Data Brief Computer Science This data set is comprised of correlated audio and lip movement data in multiple videos of multiple subjects reading the same text. It was collected to facilitate the development and validation of algorithms used to train and test a compound biometric system that consists of lip-motion and voice recognition. The data set is a collection of videos of volunteers reciting a fixed script that is intended to be used to train software to recognize voice and lip-motion patterns. A second video is included of the individual reciting a shorter phrase, which is designed to be used to test the recognition functionality of the system. The recordings were collected in a controlled, indoor setting with a 4K professional-grade camcorder and adjustable, LED lights. Elsevier 2018-10-18 /pmc/articles/PMC6218630/ /pubmed/30417045 http://dx.doi.org/10.1016/j.dib.2018.10.043 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Computer Science Colasito, Marco Straub, Jeremy Kotala, Pratap Correlated lip motion and voice audio data |
title | Correlated lip motion and voice audio data |
title_full | Correlated lip motion and voice audio data |
title_fullStr | Correlated lip motion and voice audio data |
title_full_unstemmed | Correlated lip motion and voice audio data |
title_short | Correlated lip motion and voice audio data |
title_sort | correlated lip motion and voice audio data |
topic | Computer Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218630/ https://www.ncbi.nlm.nih.gov/pubmed/30417045 http://dx.doi.org/10.1016/j.dib.2018.10.043 |
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