Yun Tang
Yun Tang has 3 papers in our library, in 2020–2022, most of them on Speech & spoken language; often with Changhan Wang, Juan Pino, Xutai Ma.
OpenAlex · ORCID · h-index 19 · 61 works · 1,974 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 246 times in our library · ⭐ Paper Stars ranking: #3213
Affiliations
🎓Central China Normal UniversityWuhan ·
China2026 · 1 paper🎓Chongqing University of Posts and TelecommunicationsChongqing ·
China2026 · 1 paper🏛️Chinese Academy of SciencesBeijing ·
China2005–2009 · 6 papers🔬Institute of AutomationBeijing ·
China2005–2009 · 6 papers🏢MetaMenlo Park ·
United States2020–2021 · 5 papers🎓Chengdu University of TechnologyChengdu ·
China2010–2024 · 4 papers🎓The Ohio State UniversityColumbus ·
United States2009–2013 · 4 papers🎓Johns Hopkins UniversityBaltimore ·
United States2020–2022 · 2 papers🏢MetaTel Aviv ·
Israel2020–2021 · 2 papers🏢MetaLondon ·
United Kingdom2020–2021 · 2 papers
Concepts, shelves and topics
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 works
🧭 Topics 1Research subjects and languages the work is about.Speech & spoken language · 3 works
Works by year
2020s
20221 paperDirect Speech-to-Speech Translation With Discrete Units20211 paperImproving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task20201 paperFairseq S2T: Fast Speech-to-Text Modeling with Fairseq
Papers
- Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq (2020 · 259 citations)
Speech recognition (ASR), speech translation (ST), machine translation (MT) and language modeling (LM) increasingly share data, architectures and training signals. - Direct Speech-to-Speech Translation With Discrete Units (2022 · 171 citations)
The paper tackles direct speech-to-speech translation (S2ST), which converts speech in one language into speech in another without producing text along the way. - Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task (2021 · 117 citations)
End-to-end speech translation (ST) depends on paired speech–translation data, which is expensive and scarce.
Co-authors here
- Changhan Wang ×3
- Juan Pino ×3
- Xutai Ma ×2
- Adam Polyak
- Ann Lee
- Anne Wu
- Dmitriy Genzel
- Dmytro Okhonko
- Jiatao Gu
- Peng-Jen Chen
- Sravya Popuri
- Wei-Ning Hsu
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2022, ACL 2021
- Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL): AACL 2020
Cited by
Updated
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