mlsanityData to 7 Oct 2026

BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

arXiv 1910.12592 ↗First posted 16 Oct 2019eess.AS cs.CL cs.SDcited by 51

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Abstract (arXiv)

In this report, we describe the submission of Brno University of Technology (BUT) team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2019. We also provide a brief analysis of different systems on VoxCeleb-1 test sets. Submitted systems for both Fixed and Open conditions are a fusion of 4 Convolutional Neural Network (CNN) topologies. The first and second networks have ResNet34 topology and use two-dimensional CNNs. The last two networks are one-dimensional CNN and are based on the x-vector extraction topology. Some of the networks are fine-tuned using additive margin angular softmax. Kaldi FBanks and Kaldi PLPs were used as features. The difference between Fixed and Open systems lies in the used training data and fusion strategy. The best systems for Fixed and Open conditions achieved 1.42% and 1.26% ERR on the challenge evaluation set respectively.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Oct 2019.

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Citing papers per year: 2021: 11; 2022: 13; 2023: 6; 2024: 12; 2025: 4; 2026: 5.

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  1. 2021SpeechBrain: A General-Purpose Speech Toolkitcited by 404
  2. 2021A Multi-View Approach To Audio-Visual Speaker Verificationcited by 23
  3. 2021Adversarial defense for automatic speaker verification by cascaded self-supervised learning modelscited by 16
  4. 2021Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learningcited by 16
  5. 2021Adversarially learning disentangled speech representations for robust multi-factor voice conversioncited by 14
  6. 2021Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentationcited by 12
  7. 2024The VoxCeleb Speaker Recognition Challenge: A Retrospectivecited by 9
  8. 2023VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challengecited by 8
  9. 2022Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based modelscited by 7
  10. 2021STC speaker recognition systems for the NIST SRE 2021cited by 6
  11. 2022Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detectioncited by 6
  12. 2023Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarizationcited by 6
38 more
  1. 2023DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speechcited by 5
  2. 2022Robust Speaker Recognition with Transformers Using wav2vec 2.0cited by 4
  3. 2021Real Additive Margin Softmax for Speaker Verificationcited by 3
  4. 2022Magnitude-aware Probabilistic Speaker Embeddingscited by 3
  5. 2022Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separationcited by 3
  6. 2023Improving Transformer-based Networks With Locality For Automatic Speaker Verificationcited by 3
  7. 2024Efficient Adapter Tuning of Pre-trained Speech Models for Automatic Speaker Verificationcited by 3
  8. 2021MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verificationcited by 2
  9. 2022Royalflush Speaker Diarization System for ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challengecited by 2
  10. 2022Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddingscited by 2
  11. 2025The Impact of Automatic Speech Transcription on Speaker Attributioncited by 2
  12. 2025A stylometric analysis of speaker attribution from speech transcriptscited by 2
  13. 2021Inclusive Speaker Verification with Adaptive thresholdingcited by 1
  14. 2022Optimizing Tandem Speaker Verification and Anti-Spoofing Systemscited by 1
  15. 2022Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusioncited by 1
  16. 2022Universal speaker recognition encoders for different speech segments durationcited by 1
  17. 2023Phonetic-aware speaker embedding for far-field speaker verificationcited by 1
  18. 2024End-to-End Supervised Hierarchical Graph Clustering for Speaker Diarizationcited by 1
  19. 2024Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classificationcited by 1
  20. 2024Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matchingcited by 1
  21. 2025UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verificationcited by 1
  22. 2025Introducing voice timbre attribute detectioncited by 1
  23. 2021A Study of Multimodal Person Verification Using Audio-Visual-Thermal Datacited by 0
  24. 2022Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systemscited by 0
  25. 2022Toroidal Probabilistic Spherical Discriminant Analysiscited by 0
  26. 2022Dynamic Kernels and Channel Attention for Low Resource Speaker Verificationcited by 0
  27. 2023Meta-Learning Framework for End-to-End Imposter Identification in Unseen Speaker Recognitioncited by 0
  28. 2024LightCAM: A Fast and Light Implementation of Context-Aware Masking based D-TDNN for Speaker Verificationcited by 0
  29. 2024Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speechcited by 0
  30. 2024GMM-ResNext: Combining Generative and Discriminative Models for Speaker Verificationcited by 0
  31. 2024From Modular to End-to-End Speaker Diarizationcited by 0
  32. 2024Automatic Voice Identification after Speech Resynthesis using PPGcited by 0
  33. 2024Memory-Efficient Training for Text-Dependent SV with Independent Pre-trained Modelscited by 0
  34. 2024Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verificationcited by 0
  35. 2026On Low-Bit Quantization Errors in Speaker Verification: Diagnostic and Mitigationcited by 0
  36. 2026Few-shot Class-variable Incremental Audio Classification via Prototype Adaptation and Pseudo Class-variable Trainingcited by 0
  37. 2026The Voiceprint Fallacy: Why Voices Are Not Unique Biometric Imprintscited by 0
  38. 2026COT-TTS: Audio Context-Aware Text-to-Speech with Chain-of-Thought Reasoningcited by 0

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