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Yushen Chen

Yushen Chen has 3 papers in our library, in 2025–2026, most of them on Speech & spoken language, Semitic languages; often with Chunyu Qiang, Kai Yu, Xie Chen.

3 papers in our library · 2025–2026

OpenAlex · h-index 6 · 23 works · 191 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 67 times in our library · ⭐ Paper Stars ranking: #6123

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2025–2026 · 6 paperscurrent🎓Shanghai Innovation InstituteShanghai · China2026 · 5 paperscurrent🏢KuaishouBeijing · China2026 · 3 paperscurrent🎓Zhejiang University of TechnologyHangzhou · China2023–2024 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The 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 · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 2Research subjects and languages the work is about.Speech & spoken language · 2 worksSemitic languages · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (2025 · 152 citations)
    F5-TTS is a fully non-autoregressive zero-shot text-to-speech system. It drops the usual alignment machinery: no duration model, no text encoder, and no phoneme alignment. Like E2 TTS, it turns the transcript into a character sequence, pads it with filler tokens to the length of the mel spectrogram, and trains a…
  2. Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis (2026 · 2 citations)
    Arabic has roughly 30 spoken varieties. Before this work, no open-source text-to-speech system covered them in a single model. Three obstacles stood in the way: large lexical and phonological differences between dialects, little audio clean enough for synthesis, and no shared benchmark for comparing systems.
  3. UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions (2026 · 1 citation)
    Audio generation is usually handled by separate systems for speech (TTS), music (TTM) and sound effects (TTA), each with its own kind of input.

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 67 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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