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Search Publications by: Craig Greenberg (Fed)

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Displaying 26 - 50 of 68

Performance Analysis of the 2017 NIST Language Recognition Evaluation

September 2, 2018
Author(s)
Omid Sadjadi, Timothee N. Kheyrkhah, Craig Greenberg, Douglas A. Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
The 2017 NIST language recognition evaluation (LRE) was held in the autumn of 2017. Similar to the past LRE's, the basic task in LRE17 was language detection, with an emphasis on discriminating closely related languages (14 in total) selected from 5

The 2017 NIST Language Recognition Evaluation

June 26, 2018
Author(s)
Seyed Omid Sadjadi, Timothee N. Kheyrkhah, Audrey N. Tong, Craig S. Greenberg, Douglas Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
In 2017, NIST conducted the most recent in an ongoing series of Language Recognition Evaluations (LRE) meant to foster research in robust text- and speaker-independent language recognition, as well as measure performance of current state-of-the-art systems

The 2016 NIST Speaker Recognition Evaluation

August 20, 2017
Author(s)
Seyed Omid Sadjadi, Timothee N. Kheyrkhah, Audrey N. Tong, Craig S. Greenberg, Douglas A. Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
In 2016, NIST conducted the most recent in an ongoing series of speaker recognition evaluations (SRE) to foster research in robust text-independent speaker recognition, as well as measure performance of the current state-of-the-art systems, targeting in

The Impact of Data Dependency on Speaker Recognition Evaluation

February 8, 2017
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The data dependency due to multiple use of the same subjects has impact on the standard error (SE) of the detection cost function (DCF) in speaker recognition evaluation. The DCF is defined as a weighted sum of the probabilities of type I and type II

Results of The 2015 NIST Language Recognition Evaluation

September 12, 2016
Author(s)
Hui Zhao, Desire Banse, G R. Doddington, Craig Greenberg, Audrey N. Tong, John M. Howard, Alvin F. Martin, Jaime Hernandez-Cordero, Lisa Mason, Douglas A. Reynolds, Elliot Singer
In 2015, NIST conducted the most recent in an ongoing series of Language Recognition Evaluations (LRE) meant to foster research in language recognition. The 2015 Language Recognition Evaluation (LRE15) featured 20 target languages grouped into 6 language

A New International Data Science Program

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
This article sets out to examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and associated Data Science Evaluation (DSE) series

Data Science Research Program at NIST Information Access Division

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Edmond J. Golden III, Wo L. Chang
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Initiative and evaluation series, introduced by the Information Access Division at the

Summary of the 2015 NIST Language Recognition i-Vector Machine Learning Challenge

June 24, 2016
Author(s)
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
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

The NIST IAD Data Science Evaluation Series: Part of the NIST Information Access Division Data Science Research Program

October 29, 2015
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
The Information Access Division (IAD) of the National Institute of Standards and Technology (NIST) launched a new Data Science Research Program (DSRP) in the fall of 2015. This research program focuses on evaluation-driven research and will establish a new

The NIST IAD Data Science Research Program

October 19, 2015
Author(s)
Bonnie J. Dorr, Peter C. Fontana, Craig S. Greenberg, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Martial Michel, Edmond J. Golden III, Wo L. Chang
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and evaluation series, introduced by the Information Access Division of the

Analysis of the Second Phase of the 2013-2014 i-Vector Machine Learning Challenge

September 10, 2015
Author(s)
Desire Banse, G R. Doddington, Craig Greenberg, John M. Howard, Alvin F. Martin, Daniel Garcia-Romero, John J. Godfrey, Jaime Hernandez-Cordero, Lisa Mason, Alan McCree, Douglas A. Reynolds
In late 2013 and 2014, the National Institute of Standards and Technology (NIST) coordinated an i-vector challenge utilizing data from previous NIST Speaker Recognition Evaluations. Following the evaluation period, a second phase of the challenge was held