Cover Image

Self-Supervised Learning for Speaker Recognition: A study and review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lepage, Theo, Dehak, Reda
Format:	Preprint
Published:	2026
Subjects:	Audio and Speech Processing Machine Learning Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning
by: Lepage, Théo, et al.
Published: (2022)

Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations
by: Lepage, Theo, et al.
Published: (2024)

Self-Supervised Frameworks for Speaker Verification via Bootstrapped Positive Sampling
by: Lepage, Theo, et al.
Published: (2025)

SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification
by: Lepage, Theo, et al.
Published: (2025)

Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models
by: Miara, Victor, et al.
Published: (2024)

Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification
by: Lepage, Theo, et al.
Published: (2023)

Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection
by: Stourbe, Theophile, et al.
Published: (2024)

BabyHuBERT: Multilingual Self-Supervised Learning for Segmenting Speakers in Child-Centered Long-Form Recordings
by: Charlot, Théo, et al.
Published: (2025)

Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
by: Wu, Haibin, et al.
Published: (2021)

Multiple Choice Learning for Efficient Speech Separation with Many Speakers
by: Perera, David, et al.
Published: (2024)

Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification
by: Joshi, Sonal, et al.
Published: (2024)

Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition
by: Ulgen, Ismail Rasim, et al.
Published: (2024)

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
by: Lu, Yen-Ju, et al.
Published: (2024)

Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay
by: Shahmansoori, Arash, et al.
Published: (2022)

Windowed SummaryMixing: An Efficient Fine-Tuning of Self-Supervised Learning Models for Low-resource Speech Recognition
by: Menon, Aditya Srinivas, et al.
Published: (2026)

Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems
by: Joshi, Sonal, et al.
Published: (2021)

Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models
by: Gao, Chenyang, et al.
Published: (2024)

Leveraging Self-Supervised Learning for Speaker Diarization
by: Han, Jiangyu, et al.
Published: (2024)

Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation
by: Lu, Cheng, et al.
Published: (2024)

Singer Identity Representation Learning using Self-Supervised Techniques
by: Torres, Bernardo, et al.
Published: (2024)

Self-Supervised Learning for Few-Shot Bird Sound Classification
by: Moummad, Ilyass, et al.
Published: (2023)

Speaker Emotion Recognition: Leveraging Self-Supervised Models for Feature Extraction Using Wav2Vec2 and HuBERT
by: Jafarzadeh, Pourya, et al.
Published: (2024)

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
by: Vaessen, Nik, et al.
Published: (2024)

Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification
by: Liao, Yen-Lun, et al.
Published: (2022)

Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?
by: Aldeneh, Zakaria, et al.
Published: (2024)

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
by: Ravenscroft, William, et al.
Published: (2024)

HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System
by: Zhang, Zhisheng, et al.
Published: (2024)

MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
by: Heggan, Calum, et al.
Published: (2023)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction
by: Brima, Yusuf, et al.
Published: (2023)

Voice Signal Processing for Machine Learning. The Case of Speaker Isolation
by: Ganchev, Radan
Published: (2024)

TinySV: Speaker Verification in TinyML with On-device Learning
by: Pavan, Massimo, et al.
Published: (2024)

Robust Channel Learning for Large-Scale Radio Speaker Verification
by: Yang, Wenhao, et al.
Published: (2024)

Self-Tuning Spectral Clustering for Speaker Diarization
by: Raghav, Nikhil, et al.
Published: (2024)

Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning
by: Bhuyan, Amit Kumar, et al.
Published: (2024)

Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation
by: Ge, Zirui, et al.
Published: (2023)

CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion Recognition
by: Ziogas, Ioannis, et al.
Published: (2024)

Toward Fully Self-Supervised Multi-Pitch Estimation
by: Cwitkowitz, Frank, et al.
Published: (2024)

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression
by: Dumpala, Sri Harsha, et al.
Published: (2024)

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance
by: Kienegger, Jakob, et al.
Published: (2025)

Adversarial Data Augmentation for Robust Speaker Verification
by: Zhou, Zhenyu, et al.
Published: (2024)