John M. Howard

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This is a review of the six NIST Language Recognition Evaluations from 1996 to 2011. The evolving nature of the task is described, including the (non-)distinction between language and dialect. The languages/dialects tested are noted, and the challenges of data collection for such evaluations and the collections actually undertaken are reviewed. The(More)
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-Vector Machine Learning Challenge, largely modeled on the 2013-2014 Speaker Recognition i-Vector Machine Learning Challenge. This online(More)
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 machine learning for use in language recognition, and improving recognition accuracy. The Language(More)
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, where speaker labels were made available for system development. The second phase included system(More)
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 featured 20 target languages grouped into 6 language clusters. The evaluation was focused on distinguishing languages within each cluster, without disclosing which(More)
The 2012 NIST Speaker Recognition Evaluation, held in the autumn of 2012, was designed to examine a variety of factors affecting the performance of automatic systems for speaker recognition. Here we examine, for leading systems included in this evaluation, the observed effects on performance of five such factors: the inclusion in test segment speech of(More)
In this article, Professor John Howard shares with our readers his life experiences as a pancreatic surgeon-researcher and gives advice to junior pancreatologists starting a career in pancreatic research. Professor Howard made an outstanding contribution to the understanding of acute pacreatitis and he is a pioneer in the development of management(More)
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