Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in
Speaker Recognition

Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition

21 September 2023

Shuai Wang

Qi Liu

Haizhou Li

Papers citing "Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition"

6 / 6 papers shown

Title
Parameter-efficient transfer learning of pre-trained Transformer models for speaker verification using adapters Junyi Peng Themos Stafylakis Rongzhi Gu Oldvrich Plchot Ladislav Movsner Lukávs Burget JanHonza'' vCernocký 42 22 0 28 Oct 2022
A comprehensive study on self-supervised distillation for speaker representation learning Zhengyang Chen Yao Qian Bing Han Y. Qian Michael Zeng SSL 36 17 0 28 Oct 2022
Music Source Separation with Band-split RNN Yi Luo Jianwei Yu 57 107 0 30 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 350 5,811 0 29 Apr 2021
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 251 2,233 0 14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 264 1,275 0 06 Mar 2017