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Naome A Etori

Naome A Etori has 4 papers in our library, in 2023–2026, most of them on Question answering, Dialogue systems, Speech & spoken language; often with Atnafu Lambebo Tonja, Michael Samwel Mollel, Tobi Olatunji.

4 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 6 · 52 works · 104 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 176 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7586

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

🎓University of MinnesotaMinneapolis · United States2022–2026 · 26 paperscurrent🎓College of Menominee NationKeshena · United States2020 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 6Research subjects and languages the work is about.Speech & spoken language · 1 workDialogue systems · 1 workEnglish · 1 workEvaluation & benchmarks · 1 workQuestion answering · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR (2023 · 45 citations)
    Speech recognition systems now reach near-human accuracy on standard English benchmarks. They still perform poorly on African-accented speech, and no public resource existed for clinical ASR on such accents. This gap matters for African clinicians, who face heavy patient loads and could benefit from dictation tools.…
  2. Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond (2025 · 11 citations)
    Speech systems are now common in clinics and call centers, but little is known about how they handle African-accented English in long, spontaneous dialogue.
  3. Learning from Scarcity: Building and Benchmarking Speech Technology for Sukuma. (2026 · 2 citations)
    Sukuma is a Bantu language of northern Tanzania with roughly 10 million speakers, but it has had no public speech data or models.
  4. Afri-MCQA: Multimodal Cultural Question Answering for African Languages (2026)
    Afri-MCQA addresses a gap in multimodal AI evaluation. Existing cultural VQA benchmarks cover few African languages and query models only through text, even though many African languages are used mainly in spoken form. The authors built a benchmark of about 7.5k image-grounded question–answer pairs in 15 sub-Saharan…

All works

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

  1. CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark ↗arXiv:2406.05967 · no summary yetDavid Romero et al.2024 · 90 citations
  2. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASRTransactions of the Association for Computational Linguistics (TACL)Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, et al.2023 · 45 citations
  3. AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJiayi Wang et al.2024 · 39 citations
  4. Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and BeyondConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mardhiyah Sanni, Tassallah Abdullahi, Devendra Deepak Kayande, et al.2025 · 11 citations
  5. CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetEmilio Villa-Cueva et al.2025 · 5 citations
  6. Learning from Scarcity: Building and Benchmarking Speech Technology for Sukuma.Workshop on Language Models for Low-Resource LanguagesMacton Mgonzo, Kezia Oketch, Naome A Etori, et al.2026 · 2 citations
  7. Afri-MCQA: Multimodal Cultural Question Answering for African LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva, et al.2026

 Co-authors here

12 of 19 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 176 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

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