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Herman Kamper

Herman Kamper has 2 papers in our library, in 2019–2025, most of them on Speech & spoken language, Low-resource languages; often with Adam Lopez, Karen Livescu, Sharon Goldwater.

2 papers in our library · 2019–2025

OpenAlex · ORCID · Wikidata · h-index 23 · 145 works · 2,092 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 239 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6916

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

🎓Stellenbosch UniversityStellenbosch · South Africa2009–2026 · 90 paperscurrent🎓University of EdinburghEdinburgh · United Kingdom2014–2017 · 9 papers🎓Toyota Technological Institute at ChicagoChicago · United States2017–2019 · 3 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 worksPsychology · 1 workDevelopmental and Educational Psychology · 1 work

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

 Works by year

2020s

20251 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Pre-training on high-resource speech recognition improves low-resource speech-to-text translation (2019 · 91 citations)
    End-to-end speech-to-text translation (ST) works well when large amounts of translated audio exist, but it performs poorly when only a few hours are available.
  2. Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives (2025 · 3 citations)
    Early oral language skills predict later reading. In crowded South African preschools, though, assessing 4–5-year-olds by hand is impractical. This work builds the first component of an automated assessment pipeline: speech recognition for spontaneous stories told by Afrikaans and isiXhosa preschoolers. The children…

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. Pre-training on high-resource speech recognition improves low-resource speech-to-text translationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sameer Bansal, Herman Kamper, Karen Livescu, et al.2019 · 91 citations
  2. Automatically assessing oral narratives of Afrikaans and isiXhosa children ↗arXiv:2507.13205 · no summary yetRetief Louw et al.2025 · 4 citations
  3. Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral NarrativesarXiv:2501.06478Christiaan Jacobs, Annelien Smith, Daleen Klop, et al.2025 · 3 citations
  4. Feature-based analysis of oral narratives from Afrikaans and isiXhosa children ↗arXiv:2507.13164 · no summary yetEmma Sharratt et al.2025 · 2 citations

 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 239 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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