Disentangling Voice and Content with Self-Supervision for Speaker
Recognition

Disentangling Voice and Content with Self-Supervision for Speaker Recognition

2 October 2023

Tianchi Liu

Kong Aik Lee

Qiongqiong Wang

Haizhou Li

Papers citing "Disentangling Voice and Content with Self-Supervision for Speaker Recognition"

8 / 8 papers shown

Title
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning Runwu Shi Katsutoshi Itoyama K. Nakadai SSL DRL 37 1 0 31 Dec 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 26 4 0 21 Jul 2024
Dataset-Distillation Generative Model for Speech Emotion Recognition Fabian Ritter Gutierrez Kuan Po Huang Jeremy H. M Wong Dianwen Ng Hung-yi Lee Nancy F. Chen Eng Siong Chng DD 32 0 0 05 Jun 2024
MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion Pengcheng Li Jianzong Wang Xulong Zhang Yong Zhang Jing Xiao Ning Cheng DRL 30 1 0 02 May 2024
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs Ruijie Tao Kong Aik Lee Rohan Kumar Das Ville Hautamaki Haizhou Li SSL 27 8 0 27 Oct 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? Keshigeyan Chandrasegaran Ngoc-Trung Tran Yunqing Zhao Ngai-man Cheung 78 41 0 29 Jun 2022
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech Katrin Tomanek Vicky Zayats Dirk Padfield K. Vaillancourt Fadi Biadsy 51 57 0 14 Sep 2021
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 214 2,233 0 14 Jun 2018