7 citations · 24 across the 13 of their papers we have counts for
7 papers · 1 filter
SELM: Speech Enhancement Using Discrete Tokens and Language Models
Ziqian Wang, Xinfa Zhu, Zihan Zhang +4
Language models (LMs) have shown superior performances in various speech generation tasks recently, demonstrating their powerful ability for semantic context modeling. Given the in…
Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification
Yuke Lin, Xiaoyi Qin, Ning Jiang +2
It is widely acknowledged that discriminative representation for speaker verification can be extracted from verbal speech. However, how much speaker information that non-verbal voc…
Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification
Ze Li, Yuke Lin, Ning Jiang +4
Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks. In this paper, we propo…
Boosting Multi-Speaker Expressive Speech Synthesis with Semi-supervised Contrastive Learning
Xinfa Zhu, Yuke Li, Yi Lei +3
This paper aims to build a multi-speaker expressive TTS system, synthesizing a target speaker's speech with multiple styles and emotions. To this end, we propose a novel contrastiv…
The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 2023
Ze Li, Yuke Lin, Xiaoyi Qin +3
This paper is the system description of the DKU-MSXF System for the track1, track2 and track3 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). For Track 1, we utiliz…
The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023
Ming Cheng, Weiqing Wang, Xiaoyi Qin +4
This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity detection, clust…
VoxBlink: A Large Scale Speaker Verification Dataset on Camera
Yuke Lin, Xiaoyi Qin, Guoqing Zhao +4
In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual dat…