19 citations · 24 across the 6 of their papers we have counts for
6 papers
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER
Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi +3
This paper describes the system developed by the USTC-NELSLIP team for SemEval-2023 Task 2 Multilingual Complex Named Entity Recognition (MultiCoNER II). A method named Statistical…
An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification
Yafeng Chen, Siqi Zheng, Hui Wang +3
Effective fusion of multi-scale features is crucial for improving speaker verification performance. While most existing methods aggregate multi-scale features in a layer-wise manne…
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
Beiduo Chen, Jun-Yu Ma, Jiajun Qi +3
This paper describes the system developed by the USTC-NELSLIP team for SemEval-2022 Task 11 Multilingual Complex Named Entity Recognition (MultiCoNER). We propose a gazetteer-adapt…
Bidirectional Multiscale Feature Aggregation for Speaker Verification
Jiajun Qi, Wu Guo, Bin Gu
In this paper, we propose a novel bidirectional multiscale feature aggregation (BMFA) network with attentional fusion modules for text-independent speaker verification. The feature…
Multi-task Metric Learning for Text-independent Speaker Verification
Yafeng Chen, Wu Guo, Jingjing Shi +2
In this work, we introduce metric learning (ML) to enhance the deep embedding learning for text-independent speaker verification (SV). Specifically, the deep speaker embedding netw…
Exploring Universal Speech Attributes for Speaker Verification with an Improved Cross-stitch Network
Jiajun Qi, Wu Guo, Jingjing Shi +2
The universal speech attributes for x-vector based speaker verification (SV) are addressed in this paper. The manner and place of articulation form the fundamental speech attribute…