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Found 8 papers, 1 papers with code
Self-supervised Reflective Learning through Self-distillation and Online Clustering for Speaker Representation Learning
Specifically, a teacher model continually refines pseudo labels through online clustering, providing dynamic supervision signals to train the student model.
Leveraging ASR Pretrained Conformers for Speaker Verification through Transfer Learning and Knowledge Distillation
This paper explores the use of ASR-pretrained Conformers for speaker verification, leveraging their strengths in modeling speech signals.
Identifying Source Speakers for Voice Conversion based Spoofing Attacks on Speaker Verification Systems
An automatic speaker verification system aims to verify the speaker identity of a speech signal.
The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge
Taking advantage of DNN's ability to learn from data with label noise, we propose to cluster the speaker embedding obtained from the previous speaker network and use the subsequent class assignments as pseudo labels to train a new DNN.
The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge
This report describes the submission of the DKU-DukeECE-Lenovo team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2021 track 4.
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion
This paper describes our DKU replay detection system for the ASVspoof 2019 challenge.
Utterance-level end-to-end language identification using attention-based CNN-BLSTM
In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM).
End-to-end Language Identification using NetFV and NetVLAD
In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task.
