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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Full Fine-Tuning vs. Parameter-Efficient Adaptation for Low-Resource African ASR: A Controlled Study with Whisper-Small

2026PublicationOpen access

10.18653/v1/2026.africanlp-main.19 Full text0 citations

Authors

7 authors across 5 institutions in 5 countries.

Sukairaj Hafiz ImamFirst author
Muhammad Yahuza Bello
- Bayero University Kano (NG)
Hadiza Ali Umar
- Bayero University Kano (NG)
Tadesse Destaw Belay
Idris Abdulmumin
- University of Pretoria (ZA)
Seid Muhie Yimam
Shamsuddeen Hassan MuhammadSenior author
- Bayero University Kano (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Speech Recognition and Synthesislevel 3 · 0.06
Machine Learning and Algorithmslevel 3 · 0.04
Sparse and Compressive Sensing Techniqueslevel 3 · 0.03

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · 0 citations
https://openalex.org/W7140148575

Full Fine-Tuning vs. Parameter-Efficient Adaptation for Low-Resource African ASR: A Controlled Study with Whisper-Small · Sankore