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Yung-Chang Hsu

Yung-Chang Hsu has 2 papers in our library, in 2021, most of them on English, Speech & spoken language; often with Berlin Chen, Bi-Cheng Yan, Hsin-Wei Wang.

2 papers in our library · 2021

OpenAlex · h-index 3 · 11 works · 29 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12672

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

🏢EisaiTaipei · Taiwan2021–2026 · 4 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksPsychology · 2 worksArtificial Intelligence · 2 worksExperimental and Cognitive Psychology · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 works

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

 Works by year

2020s

20212 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis (2021 · 2 citations)
    The paper targets computer-assisted pronunciation training. The task is to find phone-level mispronunciations in L2 English speech and say what went wrong (MD&D). Common end-to-end systems such as CTC-ATT decode phones left to right with beam search. That makes them slow, and they also suffer when non-native training…
  2. Exploring the Integration of E2E ASR and Pronunciation Modeling for English Mispronunciation Detection (2021)
    The paper targets mispronunciation detection and diagnosis for L2 English learners in computer-assisted pronunciation training (CAPT).

 Co-authors here

3 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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