On the influence of language similarity in non-target speaker verification trials

In this paper, we investigate the influence of language similarity in cross-lingual non-target speaker verification trials using a state-of-the-art speaker verification system, ECAPA-TDNN, trained on multilingual and monolingual variants of the VoxCeleb dataset. Our analysis of the score distribution patterns on multilingual Globalphone and LDC CTS reveals a clustering effect in speaker comparisons involving a training language, whereby the choice of comparison language only minimally impacts scores. Conversely, we observe a language similarity effect in trials involving languages not included in the training set of the speaker verification system, with scores correlating with language similarity measured by a language classification system, especially when using multilingual training data.

@article{reuter2025_2506.02777,
  title={ On the influence of language similarity in non-target speaker verification trials },
  author={ Paul M. Reuter and Michael Jessen },
  journal={arXiv preprint arXiv:2506.02777},
  year={ 2025 }
}