research
∙
09/19/2023
Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation
Speaker diarization has gained considerable attention within speech proc...
share
research
∙
08/05/2023
Self-Distillation Network with Ensemble Prototypes: Learning Robust Speaker Representations without Supervision
Training speaker-discriminative and robust speaker verification systems ...
research
∙
06/27/2023
3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement
Disentangling uncorrelated information in speech utterances is a crucial...
research
∙
05/22/2023
Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization
Speaker diarization(SD) is a classic task in speech processing and is cr...
research
∙
05/22/2023
An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification
Effective fusion of multi-scale features is crucial for improving speake...
research
∙
03/01/2023
CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
Time delay neural network (TDNN) has been proven to be efficient for spe...
research
∙
11/08/2022
Pushing the limits of self-supervised speaker verification using regularized distillation framework
Training robust speaker verification systems without speaker labels has ...
research
∙
04/25/2022
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data
Unsupervised clustering on speakers is becoming increasingly important f...
research
∙
03/29/2021
Improved Meta-learning training for Speaker Verification
Meta-learning (ML) has recently become a research hotspot in speaker ver...
research
∙
10/21/2020