Cover Image

A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xing, Xujiang, Xu, Mingxing, Zheng, Thomas Fang
Format:	Preprint
Published:	2024
Subjects:	Sound Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Training for Speaker Verification against Noisy Labels
by: Fang, Zhihua, et al.
Published: (2022)

Whisper-PMFA: Partial Multi-Scale Feature Aggregation for Speaker Verification using Whisper Models
by: Zhao, Yiyang, et al.
Published: (2024)

Noise-Conditioned Mixture-of-Experts Framework for Robust Speaker Verification
by: Gu, Bin, et al.
Published: (2025)

Speaker Adaptation for Quantised End-to-End ASR Models
by: Zhao, Qiuming, et al.
Published: (2024)

AdvSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification
by: Wang, Li, et al.
Published: (2023)

SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR
by: Zhao, Qiuming, et al.
Published: (2024)

Adversarial Reweighting for Speaker Verification Fairness
by: Jin, Minho, et al.
Published: (2022)

Noisy Disentanglement with Tri-stage Training for Noise-Robust Speech Recognition
by: Chen, Shuangyuan, et al.
Published: (2025)

Diffusion-Based Adversarial Purification for Speaker Verification
by: Bai, Yibo, et al.
Published: (2023)

Enhancing Age-Related Robustness in Children Speaker Verification
by: Shetty, Vishwas M., et al.
Published: (2025)

Emotional Styles Hide in Deep Speaker Embeddings: Disentangle Deep Speaker Embeddings for Speaker Clustering
by: Lin, Chaohao, et al.
Published: (2025)

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

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

Neural Codec-based Adversarial Sample Detection for Speaker Verification
by: Chen, Xuanjun, et al.
Published: (2024)

A New Perspective on Speaker Verification: Joint Modeling with DFSMN and Transformer
by: Wang, Hongyu, et al.
Published: (2023)

Learning Emotion-Invariant Speaker Representations for Speaker Verification
by: Tian, Jingguang, et al.
Published: (2025)

Joint ASR and Speaker Role Tagging with Serialized Output Training
by: Xu, Anfeng, et al.
Published: (2025)

DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness
by: Pankov, Vikentii, et al.
Published: (2023)

A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification
by: Zhang, You, et al.
Published: (2022)

A Stage-Wise Learning Strategy with Fixed Anchors for Robust Speaker Verification
by: Gu, Bin, et al.
Published: (2025)

Spoofing-Aware Speaker Verification Robust Against Domain and Channel Mismatches
by: Zeng, Chang, et al.
Published: (2024)

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

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations
by: Bai, Yibo, et al.
Published: (2025)

An Initial Investigation of Neural Replay Simulator for Over-the-Air Adversarial Perturbations to Automatic Speaker Verification
by: Li, Jiaqi, et al.
Published: (2023)

LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification
by: Chen, Xing, et al.
Published: (2022)

Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization
by: Pálka, Petr, et al.
Published: (2024)

Emphasized Non-Target Speaker Knowledge in Knowledge Distillation for Automatic Speaker Verification
by: Truong, Duc-Tuan, et al.
Published: (2023)

ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training
by: Zhu, Xinfa, et al.
Published: (2025)

Disentangled Representation Learning for Environment-agnostic Speaker Recognition
by: Nam, KiHyun, et al.
Published: (2024)

Integrated Spoofing-Robust Automatic Speaker Verification via a Three-Class Formulation and LLR
by: Tan, Kai, et al.
Published: (2026)

Phonetic Richness for Improved Automatic Speaker Verification
by: Klein, Nicholas, et al.
Published: (2024)

PhiNet: Speaker Verification with Phonetic Interpretability
by: Ma, Yi, et al.
Published: (2026)

Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification
by: Liu, Bei, et al.
Published: (2024)

Speaker Disentanglement of Speech Pre-trained Model Based on Interpretability
by: Zhu, Xiaoxu, et al.
Published: (2025)

MASV: Speaker Verification with Global and Local Context Mamba
by: Liu, Yang, et al.
Published: (2024)

Spectral-Aware Low-Rank Adaptation for Speaker Verification
by: Li, Zhe, et al.
Published: (2025)

Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting
by: Wang, Zhenyu, et al.
Published: (2024)

Adapting General Disentanglement-Based Speaker Anonymization for Enhanced Emotion Preservation
by: Miao, Xiaoxiao, et al.
Published: (2024)

An Investigation of Reprogramming for Cross-Language Adaptation in Speaker Verification Systems
by: Li, Jingyu, et al.
Published: (2024)

Integrated Multi-Level Knowledge Distillation for Enhanced Speaker Verification
by: Yang, Wenhao, et al.
Published: (2024)