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Search Publications by: Audrey N. Tong (Fed)

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Displaying 1 - 8 of 8

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

Overview of the NIST 2016 LoReHLT Evaluation

November 13, 2017
Author(s)
Audrey N. Tong, Lukasz L. Diduch, Jonathan G. Fiscus, Yasaman Haghpanah, Shudong Huang, David M. Joy, Kay Peterson, Ian M. Soboroff
Initiated in conjunction with DARPA's Low Resource Languages for Emergent Incidents (LORELEI) Program, the NIST LoReHLT (Low Re-source Human Language Technology) evaluation series seeks to incubate research on fundamental natural language processing tasks

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

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

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

Document Image Collection Using Amazon s Mechanical Turk

June 4, 2010
Author(s)
Audrey N. Tong, Mark A. Przybocki
We present findings from a collaborative effort aimed at testing the feasibility of using Amazon s Mechanical Turk as a data collection platform to build a corpus of document images. Experimental design and implementation workflow are described