mlsanityData to 19 Oct 2026

CL-UZH submission to the NIST SRE 2024 Speaker Recognition Evaluation

arXiv 2510.00952 ↗First posted 1 Oct 2025eess.AS cs.SDcited by 1

On the map: Speech and audio language models → Speaker recognition and diarization

Abstract (arXiv)

The CL-UZH team submitted one system each for the fixed and open conditions of the NIST SRE 2024 challenge. For the closed-set condition, results for the audio-only trials were achieved using the X-vector system developed with Kaldi. For the audio-visual results we used only models developed for the visual modality. Two sets of results were submitted for the open-set and closed-set conditions, one based on a pretrained model using the VoxBlink2 and VoxCeleb2 datasets. An Xvector-based model was trained from scratch using the CTS superset dataset for the closed set. In addition to the submission of the results of the SRE24 evaluation to the competition website, we talked about the performance of the proposed systems on the SRE24 evaluation in this report.

Key facts. Cited by 1 paper in the map (data through 19 Oct 2026). Placed in Speaker recognition and diarization, one of 11 directions in Speech and audio language models. Builds on 6 of its 15 references that are in the map. First posted on arXiv 1 Oct 2025.

Builds on

6 of 15 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark16 Jul

Other references · 5

  1. 2018VoxCeleb2: Deep Speaker Recognitioncited by 1,166
  2. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 914
  3. 2023Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessmentcited by 4
  4. 2025Quantifying and Reducing Speaker Heterogeneity within the Common Voice Corpus for Phonetic Analysiscited by 4
  5. 2024Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verificationcited by 3

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Cited by year (2026 to 19 Oct)

Citing papers per year: 2026: 1.

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  1. 2022The HCCL System for the NIST SRE21
  2. 2021NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition
  3. 2021STC speaker recognition systems for the NIST SRE 2021
  4. 2022I4U System Description for NIST SRE'20 CTS Challenge
  5. 2022The 2021 NIST Speaker Recognition Evaluation
  6. 2025Analysis of ABC Frontend Audio Systems for the NIST-SRE24
  7. 2022THUEE system description for NIST 2020 SRE CTS challenge
  8. 2021HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE