Search Results for author:
Found 6 papers, 4 papers with code
Prompt-driven Target Speech Diarization
We introduce a novel task named `target speech diarization', which seeks to determine `when target event occurred' within an audio signal.
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition
Current speaker recognition systems primarily rely on supervised approaches, constrained by the scale of labeled datasets.
Exploring Binary Classification Loss For Speaker Verification
The mismatch between close-set training and open-set testing usually leads to significant performance degradation for speaker verification task.
Wespeaker baselines for VoxSRC2023
This report showcases the results achieved using the wespeaker toolkit for the VoxSRC2023 Challenge.
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
We integrate the proposed methods into the HuBERT framework.
