Challenge Results

We are pleased to announce the official results of the TidyVoice 2026 Challenge. We sincerely thank all 42 participating teams for their outstanding contributions to advancing cross-lingual speaker verification.

Deeper Analysis: We have prepared a detailed deeper analysis for each team. You can download it from the corresponding link in the "Deeper Analysis" column of the leaderboard below. You are free to use this analysis in your paper if you wish.

Ground Truth Release: The ground truth labels for speaker identity and language will be released in March 2026, after the Language Recognition Challenge at Odyssey 2026, which uses the same dataset. After that, the dataset will serve as a public benchmark for both Automatic Speaker Verification (ASV) and Language Identification (LID).

Call for System Descriptions: All participating teams are welcome and encouraged to submit a paper describing their systems and approaches to the Interspeech 2026 platform. The final acceptance decision for each paper will be made by the reviewers through the official review process.

During the submission process, in the "Subject Areas" section, please select: "14.15 TidyVoice Challenge: Cross-Lingual Speaker Verification".

Submission deadline: 25 February 2026.

If your paper is publicly available (e.g., on arXiv), we would be happy to link it here for the community. Please share the link with us at: aref.farhadipour@uzh.ch


Team tv26_eval-A tv26_eval-U Deeper Analysis Paper
EER (%) minDCF EER (%) minDCF
T01 1.39 0.097 1.95 0.058 Download —
T02 2.21 0.180 2.99 0.205 Download —
T03 2.43 0.175 2.84 0.189 Download —
T04 2.46 0.206 4.45 0.288 Download —
T05 2.52 0.189 3.43 0.224 Download —
T06 2.53 0.190 3.40 0.196 Download —
T07 2.61 0.195 3.39 0.220 Download —
T08 2.74 0.253 2.86 0.281 Download —
T09 3.56 0.272 5.57 0.367 Download —
T10 3.64 0.236 9.16 0.359 Download —
T11 3.70 0.278 6.41 0.329 Download —
T12 3.92 0.296 5.59 0.391 Download —
T13 4.29 0.285 5.82 0.332 Download —
T14 4.31 0.33 5.22 0.37 Download —
T15 4.34 0.290 6.13 0.347 Download —
T16 4.75 0.306 6.30 0.390 Download —
T17 4.81 0.350 7.01 0.422 Download —
T18 5.07 0.363 9.89 0.440 Download —
T19 5.10 0.335 7.74 0.567 Download —
T20 5.49 0.434 7.24 0.421 Download —
T21 5.50 0.349 7.24 0.448 Download —
T22 5.94 0.384 8.84 0.545 Download —
T23 6.12 0.410 9.47 0.624 Download —
T24 6.64 0.502 6.30 0.445 Download —
T25 6.68 0.498 6.03 0.423 Download —
T26 7.02 0.524 9.84 0.525 Download —
T27 8.35 0.402 9.79 0.566 Download —
T28 8.40 0.649 12.15 0.630 Download —
T29 8.96 0.544 10.62 0.525 Download —
T30 9.06 0.658 11.60 0.607 Download —
Baseline 9.06 0.658 11.60 0.607 Download Evaluation Plan
T31 9.18 0.573 10.71 0.539 Download —
T32 9.27 0.512 11.28 0.508 Download —
T33 10.47 0.508 11.06 0.729 Download —
T34 10.54 0.728 11.18 0.710 Download —
T35 12.43 0.702 13.68 0.765 Download —
T36 13.99 0.860 15.22 0.865 Download —
T37 15.03 0.731 18.41 0.717 Download —
T38 15.05 0.700 19.24 0.804 Download —
T39 15.51 0.674 17.93 0.739 Download —
T40 20.15 0.993 20.91 0.970 Download —
T41 21.25 0.999 22.36 0.996 Download —
T42 21.44 0.987 23.03 0.974 Download —

Teams are ranked by Task 1 EER (%). The Baseline row shows the official baseline system performance.


Citation

If you use the TidyVoice dataset in your work, please cite the following:

@misc{farhadi2026tidyvoice, title={TidyVoice: A Curated Multilingual Dataset for Speaker Verification Derived from Common Voice}, author={Aref Farhadipour and Jan Marquenie and Srikanth Madikeri and Eleanor Chodroff}, year={2026}, eprint={2601.16358}, archivePrefix={arXiv}, primaryClass={eess.AS}, url={https://arxiv.org/abs/2601.16358}, }