aDCF Loss Function for Deep Metric Learning in End-to-End Text-Dependent Speaker Verification Systems
Metric learning approaches have widely expanded to the training of Speaker Verification (SV) systems based on Deep Neural Networks (DNNs), by using a loss function more consistent with the evaluation process than the traditional identification losses. However, these methods do not consider the perfo...
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Veröffentlicht in: | IEEE/ACM transactions on audio, speech, and language processing speech, and language processing, 2022, Vol.30, p.772-784 |
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