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Computer Science > Sound

arXiv:2209.04687 (cs)
[Submitted on 10 Sep 2022]

Title:Pay Attention to Hard Trials

Authors:Lantian Li, Di Wang, Dong Wang
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Abstract:Performance of speaker recognition systems is evaluated on test trials. Although as crucial as rulers for tailors, trials have not been carefully treated so far, and most existing benchmarks compose trials by naive cross-pairing. In this paper, we argue that the cross-pairing approach produces overwhelming easy trials, which in turn leads to potential bias in system and technique comparison. To solve the problem, we advocate more attention to hard trials. We present an SVM-based approach to identifying hard trials and use it to construct new evaluation sets for VoxCeleb1 and SITW. With the new sets, we can re-evaluate the contribution of some recent technologies. The code and the identified hard trials will be published online at this http URL.
Subjects: Sound (cs.SD); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2209.04687 [cs.SD]
  (or arXiv:2209.04687v1 [cs.SD] for this version)
  https://doi.org/10.48550/arXiv.2209.04687

Submission history

From: Lantian Li Mr. [view email]
[v1] Sat, 10 Sep 2022 15:16:05 UTC (2,895 KB)
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