A comprehensive study on self-supervised distillation for speaker representation learning

28 October 2022

Papers citing "A comprehensive study on self-supervised distillation for speaker representation learning"

7 / 7 papers shown

Title
Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels Zakaria Aldeneh Takuya Higuchi Jee-weon Jung Li-Wei Chen Stephen Shum Ahmed Hussen Abdelaziz Shinji Watanabe Tatiana Likhomanenko B. Theobald VLM SSL 42 0 0 16 Sep 2024
Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning Shuai Wang Zheng-Shou Chen Kong Aik Lee Yan-min Qian Haizhou Li 21 4 0 21 Jul 2024
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation Min-Jae Hwang Ilia Kulikov Benjamin Peloquin Hongyu Gong Peng-Jen Chen Ann Lee 19 1 0 04 Jun 2024
DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness Vikentii Pankov Valeria Pronina Alexander Kuzmin Maksim Borisov Nikita Usoltsev Xingshan Zeng Alexander Golubkov Nikolai Ermolenko Aleksandra Shirshova Yulia Matveeva 6 2 0 16 Nov 2023
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Augmentation adversarial training for self-supervised speaker recognition Jaesung Huh Hee-Soo Heo Jingu Kang Shinji Watanabe Joon Son Chung SSL 40 74 0 23 Jul 2020
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 206 1,954 0 14 Jun 2018