activity
20212026
most citedThe SpeakIn System for VoxCeleb Speaker Recognition Challange 2021

36 citations · 46 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2026

AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification

Chuxiao Zuo, Yao Zhu, Minqiang Xu +3

Multimodal speaker identification systems face two key challenges in real-world deployment: missing modalities and language mismatch between training and testing conditions. In pra…

cs.CV2024★ 3 cited

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Di Wang, Meiqi Hu, Yao Jin +19

Accurate hyperspectral image (HSI) interpretation is critical for providing valuable insights into various earth observation-related applications such as urban planning, precision…

cs.CV2024★ 1 cited

MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining

Di Wang, Jing Zhang, Minqiang Xu +8

Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervis…

cs.SD2022★ 1 cited

THUEE system description for NIST 2020 SRE CTS challenge

Yu Zheng, Jinghan Peng, Miao Zhao +7

This paper presents the system description of the THUEE team for the NIST 2020 Speaker Recognition Evaluation (SRE) conversational telephone speech (CTS) challenge. The subsystems…

cs.SD2022★ 1 cited

The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022

Yu Zheng, Jinghan Peng, Yihao Chen +4

This paper describes speaker verification (SV) systems submitted by the SpeakIn team to the Task 1 and Task 2 of the Far-Field Speaker Verification Challenge 2022 (FFSVC2022). SV t…

cs.SD2022★ 1 cited

The SpeakIn System Description for CNSRC2022

Yu Zheng, Yihao Chen, Jinghan Peng +3

This report describes our speaker verification systems for the tasks of the CN-Celeb Speaker Recognition Challenge 2022 (CNSRC 2022). This challenge includes two tasks, namely spea…

cs.SD2021★ 2 cited

Rep Works in Speaker Verification

Yufeng Ma, Miao Zhao, Yiwei Ding +3

Multi-branch convolutional neural network architecture has raised lots of attention in speaker verification since the aggregation of multiple parallel branches can significantly im…

cs.SD2021

Multi-query multi-head attention pooling and Inter-topK penalty for speaker verification

Miao Zhao, Yufeng Ma, Yiwei Ding +3

This paper describes the multi-query multi-head attention (MQMHA) pooling and inter-topK penalty methods which were first proposed in our submitted system description for VoxCeleb…

eess.AS2021★ 1 cited

Poformer: A simple pooling transformer for speaker verification

Yufeng Ma, Yiwei Ding, Miao Zhao +3

Most recent speaker verification systems are based on extracting speaker embeddings using a deep neural network. The pooling layer in the network aims to aggregate frame-level feat…

eess.AS2021

Fast query-by-example speech search using separable model

Yuguang Yang, Yu Pan, Xin Dong +1

Traditional Query-by-Example (QbE) speech search approaches usually use methods based on frame-level features, while state-of-the-art approaches tend to use models based on acousti…

cs.SD2021★ 36 cited

The SpeakIn System for VoxCeleb Speaker Recognition Challange 2021

Miao Zhao, Yufeng Ma, Min Liu +1

This report describes our submission to the track 1 and track 2 of the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC 2021). Both track 1 and track 2 share the same speaker ve…