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Bo Yang

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.SD2
same name
  • Bo Yang — 18 papers, h 24
  • Bo Yang — 10 papers, h 30
  • Bo Yang — 10 papers
  • Bo Yang — 9 papers
  • Bo Yang — 8 papers, h 28
  • Bo Yang — 7 papers, h 13

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

most citedContrastive Unsupervised Learning for Speech Emotion Recognition

6 citations · 7 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2021★ 1 cited

ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems

Yi Lin, Bo Yang, Linchao Li +4

In this paper, a multilingual end-to-end framework, called as ATCSpeechNet, is proposed to tackle the issue of translating communication speech into human-readable text in air traf…

cs.SD2021

Improving speech recognition models with small samples for air traffic control systems

Yi Lin, Qin Li, Bo Yang +3

In the domain of air traffic control (ATC) systems, efforts to train a practical automatic speech recognition (ASR) model always faces the problem of small training samples since t…

cs.SD2021★ 6 cited

Contrastive Unsupervised Learning for Speech Emotion Recognition

Mao Li, Bo Yang, Joshua Levy +6

Speech emotion recognition (SER) is a key technology to enable more natural human-machine communication. However, SER has long suffered from a lack of public large-scale labeled da…

cs.CL2019

ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment

Bo Yang, Xianlong Tan, Zhengmao Chen +5

Automatic Speech Recognition (ASR) is greatly developed in recent years, which expedites many applications on other fields. For the ASR research, speech corpus is always an essenti…

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