Performance estimation is crucial to the assessment of novel algorithms and systems. In detection error tradeoff (DET) diagrams, discrimination performance is solely assessed targeting one application, where cross-application performance considers risks resulting from decisions, depending on application constraints. For the purpose of interchangeability of research results across different application constraints, we propose to augment DET curves by depicting systems regarding their support of security and convenience levels. Therefore, application policies are aggregated into levels based on verbal likelihood ratio scales, providing an easy to use concept for business-to-business communication to denote operative thresholds. We supply a reference implementation in Python, an exemplary performance assessment on synthetic score distributions, and a fine-tuning scheme for Bayes decision thresholds, when decision policies are bounded rather than fix.
Index Terms-Bayes decision framework, biometric verification, binary decisions, detection error tradeoff (DET), verbal scales.
In this study we systematically compared syllable repetition and finger tapping in healthy adults, and explored possible impacts of tempi, metronome, musical experience, and age on motor timing ability. One hundred healthy adults used finger-tapping and syllable repetition to perform an isochronous pulse in three different tempi, with and without a metronome. Results showed that the motor timing was more accurate with finger tapping than with syllable repetition in the slowest tempo, and the motor timing ability was better with the metronome than without. Persons with musical experience showed better motor timing accuracy than persons without such experience, and the timing asynchrony increased with increasing age. The slowest tempo 90 bpm posed extra challenges to the participants. We speculate that this pattern reflects the fact that the slow tempo lies outside the 3-8 Hz syllable rate of natural speech, which in turn has been linked to theta-based oscillations in the brain.
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