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Search Publications by: Craig Greenberg (Fed)

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Displaying 26 - 35 of 35

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

NIST Language Recognition Evaluation Plans For 2015

September 10, 2015
Author(s)
Alvin F. Martin, Craig S. Greenberg, John M. Howard, Desire Banse, G R. Doddington, Jaime Hernandez-Cordero, Lisa Mason
We discuss two NIST coordinated evaluations of automatic language recognition technology planned for calendar year 2015 along with possible additional plans for the future. The first is the Language Recognition i-V ector Machine Learning Challenge, largely

Significance Test with Data Dependency in Speaker Recognition Evaluation

July 25, 2013
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker, Vincent M. Stanford
To evaluate the performance of speaker recognition systems, a detection cost function defined as a weighted sum of the probabilities of type I and type II errors is employed. The speaker datasets may have data dependency due to multiple uses of the same

Significance Test in Speaker Recognition Data Analysis with Data Dependency

October 17, 2012
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker, Vincent M. Stanford
To evaluate the performance of speaker recognition systems, a detection cost function defined as a weighted sum of the probabilities of type I and type II errors is employed. The speaker datasets may have data dependency due to multiple uses of the same

Data Dependency on Measurement Uncertainties in Speaker Recognition Evaluation

July 11, 2012
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The National Institute of Standards and Technology conducts an ongoing series of Speaker Recognition Evaluations (SRE). Speaker detection performance is measured using a detection cost function defined as a weighted sum of the probabilities of type I and

Uncertainties of Measures in Speaker Recognition Evaluation

November 10, 2011
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The National Institute of Standards and Technology (NIST) Speaker Recognition Evaluations (SRE) are an ongoing series of projects conducted by NIST. In the NIST SRE, speaker detection performance is measured using a detection cost function, which is

Data Dependency on Measurement Uncertainties in Speaker Recognition Evaluation

November 3, 2011
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The National Institute of Standards and Technology (NIST) has been conducting an ongoing series of Speaker Recognition Evaluations (SRE). Speaker detection performance is measured using a detection cost function defined as a weighted sum of the

Measurement Uncertainties in Speaker Recognition Evaluation

September 15, 2010
Author(s)
Jin Chu Wu, Alvin F. Martin, Craig S. Greenberg, Raghu N. Kacker
The speaker recognition evaluation is an ongoing series of evaluations conducted by NIST. A detection cost function is computed over the sequence of trials provided and used for all speaker detection tests while measuring speaker detection performance. The

Human Assisted Speaker Recognition in NIST 2010 Speaker Recognition Evaluation

June 30, 2010
Author(s)
Alvin F. Martin, Craig S. Greenberg
The 2010 NIST Speaker Recognition Evaluation or SRE10 (see SLTC Newsletter, July 2010) included a pilot test of human assisted speaker recognition (HASR). This test, which was open to sites whether or not they participated in the main evaluation of fully
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