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Amirbek Djanibekov

Amirbek Djanibekov has 3 papers in our library, in 2023–2025, most of them on Semitic languages, Speech & spoken language; often with Hanan Aldarmaki, Hawau Olamide Toyin, AbdelRahim Elmadany.

3 papers in our library · 2023–2025

OpenAlex · h-index 4 · 16 works · 44 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 91 times in our library · ⭐ Paper Stars ranking: #7557

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

🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates2023–2026 · 9 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 works

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

 Works by year

2020s

20252 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ArTST: Arabic Text and Speech Transformer (2023 · 27 citations)
    Arabic lacked an open pre-trained model that handles both speech and text as input and output. English SpeechT5, when fine-tuned on Arabic, stayed strongly biased toward English and produced weak results. The authors built ArTST by keeping the SpeechT5 design: a shared T5-style encoder-decoder with separate small…
  2. Dialectal Coverage And Generalization in Arabic Speech Recognition (2025 · 17 citations)
    Most Arabic ASR systems handle Modern Standard Arabic (MSA) and a few well-resourced dialects. They do poorly on the many other regional varieties and on speech mixing Arabic with English or French. The authors start from ArTST, an Arabic-only model built on the SpeechT5 encoder-decoder design. They re-pretrain it in…
  3. NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task (2025 · 15 citations)
    NADI 2025 is the sixth edition of the Nuanced Arabic Dialect Identification series. Earlier editions worked on written text. This one moves to speech, because everyday Arabic is mostly spoken dialect, and few datasets annotate it. The shared task has three linked subtasks:

 Co-authors here

12 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 91 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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