The NIST speaker recognition evaluation - Overview, methodology, systems, results, perspective

By G. Doddington, Mark A. Przybocki, Alvin F. Martin, Douglas A. Reynolds. Speech Communication, 2000

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Learning from facial aging patterns for automatic age estimation (2006, methodology): “In the future, AGES could be integrated, through multimodal fusion technology [29], with the algorithms from other biometric research, such as speaker recognition [6] and gait recognition [9], for multi-cue age estimation.”
Style Transfer in Text: Exploration and Evaluation (2017, methodology): “NIST (Doddington et al. 2000) and Meteor (Banerjee and Lavie 2005) are also used widely in Natural Language Processing.”
Best practices in testing and reporting performance of biometric devices. (2002, methodology): “) National Institute of Standards and Technology (NIST): The “Speaker Verification test protocol” [7] and “An Introduction to Testing Biometric Systems” [8].”
An Introduction to Application-Independent Evaluation of Speaker Recognition Systems (2007, background): “4%, so that if we apply George Doddington’s ‘rule of 30’ [16] we find that for these low miss probabilities we are less than 90% confident that the true Pmiss is within 30% of the observed Pmiss.”