Toward Fail-Safe Speaker Recognition: Trial-Based Calibration With a Reject Option

IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 140-153, 2019.

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CalibrationSpeaker recognitionData modelsTrainingLogisticsMore(2+)

Abstract:

The output scores of most of the speaker recognition systems are not directly interpretable as stand-alone values. For this reason, a calibration step is usually performed on the scores to convert them into proper likelihood ratios, which have a clear probabilistic interpretation. The standard calibration approach transforms the system sc...More

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