Application-independent evaluation of speaker detection

By Niko Brummer. The Speaker and Language Recognition Workshop, 2004

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How researchers see this paper

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Optimization Algorithms and Applications for Speech and Language Processing (2013, methodology): “In this paper, we focus on optimization of the parameters of the component models.”
The Albayzin 2008 Language Recognition Evaluation (2010, methodology): “In such cases, it was planned to evaluate systems also in terms of the so called CLLR [5], which is used as an alternative performance measure in NIST evaluations.”
The Speakers in the Wild (SITW) Speaker Recognition Database (2016, background): “For more information on this metric, please refer to [9].”
Spoken Language Recognition: From Fundamentals to Practice (2013, background): “The system that gives the highest likelihood score makes the best sense of the speech and is considered as the recognition result.”
An Introduction to Application-Independent Evaluation of Speaker Recognition Systems (2007, background): “The interested reader may consult [3] for further motivation of this parametrization.”