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Ming Wu

6 papers hereh-index 8269 citations13 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.CL1
  • cs.LG1
  • cs.SD1
  • eess.IV1
same name
  • Ming Wu — 14 papers, h 19
  • Ming Wu — 7 papers, h 21
  • Ming Wu — 7 papers, h 2
  • Ming Wu — 6 papers, h 4
  • Ming Wu — 4 papers, h 2
  • Ming Wu — 3 papers, h 1

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
20202023
most citedA Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition

35 citations · 79 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.SD2022★ 2 cited

A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition

Ye-Qian Du, Jie Zhang, Qiu-Shi Zhu +4

Unpaired data has shown to be beneficial for low-resource automatic speech recognition~(ASR), which can be involved in the design of hybrid models with multi-task training or langu…

eess.IV2022

Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition

Zi-Qiang Zhang, Jie Zhang, Jian-Shu Zhang +3

With the advance in self-supervised learning for audio and visual modalities, it has become possible to learn a robust audio-visual speech representation. This would be beneficial…

eess.AS2022★ 35 cited

A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition

Qiu-Shi Zhu, Jie Zhang, Zi-Qiang Zhang +3

Wav2vec2.0 is a popular self-supervised pre-training framework for learning speech representations in the context of automatic speech recognition (ASR). It was shown that wav2vec2.…

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