mlsanityData to 19 Oct 2026

The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario

arXiv 2209.05273 ↗First posted 12 Sep 2022eess.AScited by 5

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

Abstract (arXiv)

FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-supervised far-field speaker verification to further explore the far-field scenario and proposes semi-supervised far-field speaker verification. In contrast to FFSVC2020, FFSVC2022 focus on the single-channel scenario. In addition, a supplementary set for the FFSVC2020 dataset is released this year. The supplementary set consists of more recording devices and has the same data distribution as the FFSVC2022 evaluation set. This paper summarizes the FFSVC 2022, including tasks description, trial designing details, a baseline system and a summary of challenge results. The challenge results indicate substantial progress made in the field but also present that there are still difficulties with the far-field scenario.

Key facts. Cited by 5 papers 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 10 of its 17 references that are in the map. First posted on arXiv 12 Sep 2022.

Builds on

10 of 17 references.

Closest ancestors · 1

Same direction, newest first

  1. 2021The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge7 Sep

Other references · 9

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,456
  2. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 2,135
  3. 2018VoxCeleb2: Deep Speaker Recognitioncited by 1,166
  4. 2017VoxCeleb: a large-scale speaker identification datasetcited by 985
  5. 2015MUSAN: A Music, Speech, and Noise Corpuscited by 694
  6. 2021Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognitioncited by 72
  7. 2020The DKU-DukeECE Systems for VoxCeleb Speaker Recognition Challenge 2020cited by 30
  8. 2020The INTERSPEECH 2020 Far-Field Speaker Verification Challengecited by 22
  9. 2020The FFSVC 2020 Evaluation Plancited by 7

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Cited by year (2026 to 19 Oct)

Citing papers per year: 2022: 1; 2023: 2; 2024: 1; 2025: 0; 2026: 1.

5 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2022The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022
  2. 2021Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification
  3. 2021MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification
  4. 2023Distance-based Weight Transfer from Near-field to Far-field Speaker Verification
  5. 2024Memory-Efficient Training for Text-Dependent SV with Independent Pre-trained Models
  6. 2025Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification
  7. 2026FFASR: Benchmarking Far-Field Automatic Speech Recognition using High-Fidelity Simulated RIRs
  8. 2022The Royalflush System for VoxCeleb Speaker Recognition Challenge 2022