NIST · ИТ · 08d73562c2c28eb5f85a
Summary of the 2015 NIST Language Recognition i-Vector Machine Learning Challenge
In 2015 NIST coordinated the first language recognition evaluation (LRE) that used i-vectors as input, with the goals of attracting researchers outside of the speech processing community to tackle the language recognition problem, exploring new ideas in
NIST · ИТОфициальный источник · 2016-06-24
{
"title_en": "Summary of the 2015 NIST Language Recognition i-Vector Machine Learning Challenge",
"designation": "",
"series": "",
"status": "",
"date": "2016-06-24",
"date_original": "June 24, 2016",
"url": "https://www.nist.gov/publications/summary-2015-nist-language-recognition-i-vector-machine-learning-challenge",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Audrey N. Tong , Craig S. Greenberg , Alvin F. Martin , Desire Banse , John M. Howard , G R. Doddington , Danilo B. Romero , Douglas A. Reynolds, Lisa Mason, Tina Kohler, Jaime Hernandez-Cordero, Elliot Singer, Alan McCree, Lisa Mason",
"abstract_excerpt_en": "In 2015 NIST coordinated the first language recognition evaluation (LRE) that used i-vectors as input, with the goals of attracting researchers outside of the speech processing community to tackle the language recognition problem, exploring new ideas in",
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{
"title_en": "Summary of the 2015 NIST Language Recognition i-Vector Machine Learning Challenge",
"designation": "",
"series": "",
"status": "",
"date": "2016-06-24",
"date_original": "June 24, 2016",
"url": "https://www.nist.gov/publications/summary-2015-nist-language-recognition-i-vector-machine-learning-challenge",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Audrey N. Tong , Craig S. Greenberg , Alvin F. Martin , Desire Banse , John M. Howard , G R. Doddington , Danilo B. Romero , Douglas A. Reynolds, Lisa Mason, Tina Kohler, Jaime Hernandez-Cordero, Elliot Singer, Alan McCree, Lisa Mason",
"abstract_excerpt_en": "In 2015 NIST coordinated the first language recognition evaluation (LRE) that used i-vectors as input, with the goals of attracting researchers outside of the speech processing community to tackle the language recognition problem, exploring new ideas in"
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