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Katrin Tomanek

Katrin Tomanek has 2 papers in our library, in 2024–2026, most of them on English; often with Christopher Schröder, Fredrik Olsson.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 21 · 86 works · 1,558 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 15 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10938

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

🏢GoogleMountain View · United States2021–2025 · 24 papers🎓Friedrich Schiller University JenaJena · Germany2007–2010 · 20 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksMedicine · 1 workPhysiology · 1 workSignal Processing · 1 workEducation · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.English · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech (2024 · 2 citations)
    Project Euphonia at Google collects disordered English speech to make ASR usable for people with speech impairments. This report explains how the team made the corpus more diverse, more reliable, and more useful. The corpus now holds over 1.2M utterances from about 2000 speakers with many etiologies.
  2. Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey (2026 · 1 citation)
    Active learning (AL) aims to reduce labeling costs by letting a model choose which instances a human should annotate.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases ↗Interspeech (USB) · no summary yetJordan R. Green et al.2021 · 80 citations
  2. Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia ↗Interspeech (USB) · no summary yetRobert L. MacDonald et al.2021 · 79 citations
  3. Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speechInterspeechPan-Pan Jiang, Jimmy Tobin, Katrin Tomanek, et al.2024 · 2 citations
  4. Reassessing Active Learning Adoption in Contemporary NLP: A Community SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Julia Romberg, Christopher Schröder, Julius Gonsior, et al.2026 · 1 citation

 Co-authors here

2 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 15 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/katrin-tomanek/