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Chengyi Wang

12 papers hereh-index 10822 citations15 works total

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

author position
  • first author8
  • middle author1

Across the 9 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • eess.AS4
  • cs.SD1
same name
  • Chengyi Wang — 16 papers, h 12
  • Chengyi Wang — 5 papers, h 3
  • Chengyi Wang — 4 papers, h 3
  • Chengyi Wang — 2 papers, h 1
  • Chengyi Wang — 2 papers, h 17
  • Chengyi Wang — 1 paper

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
20192026
most citedUniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

39 citations · 143 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.AS2020★ 11 cited

Continuous Speech Separation with Conformer

Sanyuan Chen, Yu Wu, Zhuo Chen +6

Continuous speech separation plays a vital role in complicated speech related tasks such as conversation transcription. The separation model extracts a single speaker signal from a…

eess.AS2020★ 18 cited

On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition

Jinyu Li, Yu Wu, Yashesh Gaur +3

Recently, there has been a strong push to transition from hybrid models to end-to-end (E2E) models for automatic speech recognition. Currently, there are three promising E2E method…

cs.CL2020★ 14 cited

Curriculum Pre-training for End-to-End Speech Translation

Chengyi Wang, Yu Wu, Shujie Liu +2

End-to-end speech translation poses a heavy burden on the encoder, because it has to transcribe, understand, and learn cross-lingual semantics simultaneously. To obtain a powerful…

eess.AS2020★ 22 cited

Low Latency End-to-End Streaming Speech Recognition with a Scout Network

Chengyi Wang, Yu Wu, Shujie Liu +4

The attention-based Transformer model has achieved promising results for speech recognition (SR) in the offline mode. However, in the streaming mode, the Transformer model usually…

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