17 citations · 19 across the 11 of their papers we have counts for
10 papers
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision
Yafeng Chen, Siqi Zheng, Hui Wang +4
Training speaker-discriminative and robust speaker verification systems without explicit speaker labels remains a persisting challenge. In this paper, we propose a new self-supervi…
Contextual Expressive Text-to-Speech
Jianhong Tu, Zeyu Cui, Xiaohuan Zhou +4
The goal of expressive Text-to-speech (TTS) is to synthesize natural speech with desired content, prosody, emotion, or timbre, in high expressiveness. Most of previous studies atte…
Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
Zhihao Du, Shiliang Zhang, Siqi Zheng +1
Recently, hybrid systems of clustering and neural diarization models have been successfully applied in multi-party meeting analysis. However, current models always treat overlapped…
Deep Representation Decomposition for Rate-Invariant Speaker Verification
Fuchuan Tong, Siqi Zheng, Haodong Zhou +3
While promising performance for speaker verification has been achieved by deep speaker embeddings, the advantage would reduce in the case of speaking-style variability. Speaking ra…
Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure
Siqi Zheng, Hongbin Suo
Clustering-based speaker diarization has stood firm as one of the major approaches in reality, despite recent development in end-to-end diarization. However, clustering methods hav…
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data
Fuchuan Tong, Siqi Zheng, Min Zhang +4
Unsupervised clustering on speakers is becoming increasingly important for its potential uses in semi-supervised learning. In reality, we are often presented with enormous amounts…