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Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition

arXiv 2006.04326 ↗First posted 8 Jun 2020eess.AS cs.SDcited by 18

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Abstract (arXiv)

This paper introduces a semi-supervised contrastive learning framework and its application to text-independent speaker verification. The proposed framework employs generalized contrastive loss (GCL). GCL unifies losses from two different learning frameworks, supervised metric learning and unsupervised contrastive learning, and thus it naturally determines the loss for semi-supervised learning. In experiments, we applied the proposed framework to text-independent speaker verification on the VoxCeleb dataset. We demonstrate that GCL enables the learning of speaker embeddings in three manners, supervised learning, semi-supervised learning, and unsupervised learning, without any changes in the definition of the loss function.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 4; 2023: 3; 2024: 2; 2025: 2; 2026: 1.

18 papers.

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  1. 2022SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generationcited by 34
  2. 2022SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understandingcited by 28
  3. 2021Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularizationcited by 14
  4. 2022Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERTcited by 8
  5. 2021Neighborhood Consensus Contrastive Learning for Backward-Compatible Representationcited by 7
  6. 2025SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditionscited by 6
  7. 2022Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learningcited by 5
  8. 2021Graph-based Label Propagation for Semi-Supervised Speaker Identificationcited by 4
  9. 2023Improving Transformer-based Networks With Locality For Automatic Speaker Verificationcited by 3
  10. 2024ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Taskscited by 3
  11. 2023Semi-Supervised End-To-End Contrastive Learning For Time Series Classificationcited by 2
  12. 2024Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)cited by 2
6 more
  1. 2021Multi-Level Contrastive Learning for Few-Shot Problemscited by 1
  2. 2021Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learningcited by 1
  3. 2023Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosiscited by 1
  4. 2021Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verificationcited by 0
  5. 2025Semi-Supervised Contrastive Learning with Orthonormal Prototypescited by 0
  6. 2026Self-Supervised Learning for Speaker Recognition: A study and reviewcited by 0