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Yunpeng Li

8 papers hereh-index 5245 citations8 works total

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

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • eess.AS4
  • cs.SD2
  • cs.CV1
  • stat.ML1
same name
  • Yunpeng Li — 10 papers, h 7
  • Yunpeng Li — 9 papers, h 3
  • Yunpeng Li — 7 papers, h 5
  • Yunpeng Li — 5 papers, h 3
  • Yunpeng Li — 5 papers, h 3
  • Yunpeng Li — 4 papers, 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
20182025
most citedFrom Here to There: Video Inbetweening Using Direct 3D Convolutions

20 citations · 36 across the 6 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.SD2020

MicAugment: One-shot Microphone Style Transfer

Zalán Borsos, Yunpeng Li, Beat Gfeller +1

A crucial aspect for the successful deployment of audio-based models "in-the-wild" is the robustness to the transformations introduced by heterogeneous acquisition conditions. In t…

eess.AS2020★ 1 cited

Real-time Speech Frequency Bandwidth Extension

Yunpeng Li, Marco Tagliasacchi, Oleg Rybakov +2

In this paper we propose a lightweight model for frequency bandwidth extension of speech signals, increasing the sampling frequency from 8kHz to 16kHz while restoring the high freq…

eess.AS2020

SEANet: A Multi-modal Speech Enhancement Network

Marco Tagliasacchi, Yunpeng Li, Karolis Misiunas +1

We explore the possibility of leveraging accelerometer data to perform speech enhancement in very noisy conditions. Although it is possible to only partially reconstruct user's spe…

eess.AS2020★ 14 cited

Learning to Denoise Historical Music

Yunpeng Li, Beat Gfeller, Marco Tagliasacchi +1

We propose an audio-to-audio neural network model that learns to denoise old music recordings. Our model internally converts its input into a time-frequency representation by means…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.