arXiv — NLP / Computation & Language · · 3 min read

Disentangling Speaker and Language Effects in Cross-Lingual Speaker Verification for Iberian Languages

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Electrical Engineering and Systems Science > Audio and Speech Processing

arXiv:2607.01161 (eess)
[Submitted on 1 Jul 2026]

Title:Disentangling Speaker and Language Effects in Cross-Lingual Speaker Verification for Iberian Languages

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Abstract:Cross-lingual speaker verification (SV) systems typically exhibit performance degradation when enrollment and test utterances are spoken in different languages. However, standard evaluation protocols confound language mismatch with inter-speaker variability, as evaluation is generally performed with different speakers across languages.
In this work, we introduce a bilingual same-speaker evaluation set for five Iberian languages, enabling analysis of cross-lingual SV under constant speaker identity. We apply this setup to a HuBERT-based SV system previously shown to exhibit strong language dependence, and analyze results using the Cross-Lingual Transfer Matrix (CLTM) to study pairwise cross-lingual transfer.
Our results show that speaker-related variability accounts for part of the observed degradation, but language mismatch remains the main driver of cross-lingual performance loss. These findings provide a more precise characterization of language dependence in cross-lingual SV.
Comments: 5 pages, 8 figures, Submitted to IberSPEECH 2026
Subjects: Audio and Speech Processing (eess.AS); Computation and Language (cs.CL)
Cite as: arXiv:2607.01161 [eess.AS]
  (or arXiv:2607.01161v1 [eess.AS] for this version)
  https://doi.org/10.48550/arXiv.2607.01161
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Pol Buitrago [view email]
[v1] Wed, 1 Jul 2026 16:44:19 UTC (1,026 KB)
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