activity
20202026
most citedLearning Speaker Embedding with Momentum Contrast

8 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Transsion's Speaker-Attributed Multilingual ASR System for the MLC-SLM 2026 Challenge

Zhecheng Ren, Xuanji He, Xiaoxiao Li +5

This paper presents the Transsion Speech Team submission to Task 1 of the MLC-SLM 2026 Challenge, which focuses on speaker-attributed transcription for multilingual conversational…

eess.AS2026

The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026

Xuanji He, Gaoyang Dong, Xiaoxiao Li +2

This paper presents the tttAI system submitted to the TSA-ASR task of the SmartGlasses Challenge 2026, evaluated on both two-person dialogues (Track 1) and multi-party meetings (Tr…

cs.SD2022

Label-free Knowledge Distillation with Contrastive Loss for Light-weight Speaker Recognition

Zhiyuan Peng, Xuanji He, Ke Ding +2

Very deep models for speaker recognition (SR) have demonstrated remarkable performance improvement in recent research. However, it is impractical to deploy these models for on-devi…

cs.SD2022

Covariance Regularization for Probabilistic Linear Discriminant Analysis

Zhiyuan Peng, Mingjie Shao, Xuanji He +4

Probabilistic linear discriminant analysis (PLDA) is commonly used in speaker verification systems to score the similarity of speaker embeddings. Recent studies improved the perfor…

cs.SD2022

Unifying Cosine and PLDA Back-ends for Speaker Verification

Zhiyuan Peng, Xuanji He, Ke Ding +2

State-of-art speaker verification (SV) systems use a back-end model to score the similarity of speaker embeddings extracted from a neural network model. The commonly used back-end…

cs.CL2020★ 8 cited

Learning Speaker Embedding with Momentum Contrast

Ke Ding, Xuanji He, Guanglu Wan

Speaker verification can be formulated as a representation learning task, where speaker-discriminative embeddings are extracted from utterances of variable lengths. Momentum Contra…