6 citations · 13 across the 7 of their papers we have counts for
7 papers
Audio Embeddings as Teachers for Music Classification
Yiwei Ding, Alexander Lerch
Music classification has been one of the most popular tasks in the field of music information retrieval. With the development of deep learning models, the last decade has seen impr…
MusicFace: Music-driven Expressive Singing Face Synthesis
Pengfei Liu, Wenjin Deng, Hengda Li +5
It is still an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music signal. In this paper, we present a method for this task with na…
The DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022
Xiaoyi Qin, Na Li, Yuke Lin +4
This paper is the system description of the DKU-Tencent System for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC22). In this challenge, we focus on track1 and track3. For…
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
Yiwei Ding, Wenjin Deng, Yinglin Zheng +6
In this paper, we present the Intra- and Inter-Human Relation Networks (I^2R-Net) for Multi-Person Pose Estimation. It involves two basic modules. First, the Intra-Human Relation M…
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…