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Hsin-Wei Wang

Hsin-Wei Wang has 3 papers in our library, in 2021–2023, most of them on English, Speech & spoken language; often with Berlin Chen, Bi-Cheng Yan, Yung-Chang Hsu.

3 papers in our library · 2021–2023

OpenAlex · h-index 18 · 52 works · 1,673 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12391

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

🎓National Taiwan Normal UniversityTaipei · Taiwan2021–2025 · 6 paperscurrent🎓University of ConnecticutStorrs · United States2001–2021 · 7 papers🎓University of Massachusetts AmherstAmherst Center · United States2013–2015 · 7 papers🎓National Taiwan Ocean UniversityKeelung · Taiwan2010–2014 · 7 papers🤝National Health Research InstitutesHsinchu · Taiwan2019–2023 · 6 papers🎓National Taiwan UniversityTaipei · Taiwan2014–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksPsychology · 2 worksArtificial Intelligence · 3 worksExperimental and Cognitive Psychology · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 works

🧭 Topics 2Research subjects and languages the work is about.English · 3 worksSpeech & spoken language · 1 work

 Works by year

2020s

20231 paper20212 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. Enhancing Automated English Speaking Assessment for L2 Speakers with BERT and Wav2vec2.0 Fusion (2023)
    The paper tackles automatic scoring of overall English speaking proficiency for L2 learners. Human rating is slow and costly, and older pipelines depend on hand-crafted features and error-prone ASR. The authors build three classifiers on the monologue part of the public ICNALE corpus, which has 4,332 spoken answers…
  3. 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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