4 citations · 10 across the 9 of their papers we have counts for
9 papers
MECT: Mixture of Experts with CNN-Transformer Network for Speaker verification
Yu Zheng, Jinghan Peng, ChangHao Zhang +2
In this paper, we propose MECT, a speaker verification model that integrates the Mixture-of-Experts (MoE) mechanism into a CNN-Transformer backbone with optimized block structure a…
DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
Jiaqi Xiong, Yunjia Qi, Qi Cao +6
Recent Audio Multimodal Large Language Models (Audio MLLMs) demonstrate impressive performance on speech benchmarks, yet it remains unclear whether these models genuinely process a…
UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023
Yu Zheng, Yajun Zhang, Chuanying Niu +3
This report describes the UNISOUND submission for Track1 and Track2 of VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC 2023). We submit the same system on Track 1 and Track 2,…
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…
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…
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…
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…
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…
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…