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Zejun Ma

59 papers hereh-index 212.1k citations88 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author26
  • last author33

Across the 59 of 59 papers where every author was matched, so the position is known.

fields
  • cs.CL19
  • eess.AS18
  • cs.SD15
  • cs.CV4
  • cs.LG2
  • cs.IR1
same name
  • Zejun Ma — 17 papers, h 15
  • Zejun Ma — 7 papers, h 6
  • Zejun Ma — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedTowards Realistic Visual Dubbing with Heterogeneous Sources

34 citations · 195 across the 59 of their papers we have counts for

collaborators
Showing 2020 · cs.SDShow all

4 papers · 2 filters

cs.SD2020

Rule-embedded network for audio-visual voice activity detection in live musical video streams

Yuanbo Hou, Yi Deng, Bilei Zhu +2

Detecting anchor's voice in live musical streams is an important preprocessing for music and speech signal processing. Existing approaches to voice activity detection (VAD) primari…

cs.SD2020★ 1 cited

PPG-based singing voice conversion with adversarial representation learning

Zhonghao Li, Benlai Tang, Xiang Yin +4

Singing voice conversion (SVC) aims to convert the voice of one singer to that of other singers while keeping the singing content and melody. On top of recent voice conversion work…

cs.SD2020★ 4 cited

Contrastive Unsupervised Learning for Audio Fingerprinting

Zhesong Yu, Xingjian Du, Bilei Zhu +1

The rise of video-sharing platforms has attracted more and more people to shoot videos and upload them to the Internet. These videos mostly contain a carefully-edited background au…

cs.SD2020★ 1 cited

ByteCover: Cover Song Identification via Multi-Loss Training

Xingjian Du, Zhesong Yu, Bilei Zhu +2

We present in this paper ByteCover, which is a new feature learning method for cover song identification (CSI). ByteCover is built based on the classical ResNet model, and two majo…

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