Spoken Language Generation
Spoken Language Generation is a computational process within speech interaction that synthesizes natural language utterances in spoken form, distinguished from other language generation modalities by its focus on producing contextually appropriate, prosodically enriched, and acoustically realizable speech outputs.
432
Publications
27.4K
Citations
1.2K
Authors
359
Institutions
Publications per year
2017–2026
141
Parents
432
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley et al. · 2020 · 1.1K citations · Full text
Neural Sign Language Translation
Necati Cihan Camgöz, Simon Hadfield, Oscar Koller et al. · 2018 · 723 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
15 h-index
42 publications
1.7K citations
University of Cambridge
Cambridge, United Kingdom
13 h-index
60 publications
10K citations

University of Edinburgh
Edinburgh, United Kingdom
11 h-index
24 publications
644 citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
23 publications
5.2K citations
University of California, Berkeley
Berkeley, United States
10 h-index
26 publications
2K citations
Columbia University
New York, United States
9 h-index
19 publications
757 citations
University of Sheffield
Sheffield, United Kingdom
7 h-index
10 publications
930 citations

Saarland University
Saarbrücken, Germany
7 h-index
12 publications
513 citations
1–8 of 359
Repository · 30 publications · 1.9K citations
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9 publications · 367 citations
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8 publications · 434 citations
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PNAS · 5 publications · 207 citations
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4 publications · 837 citations
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