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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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A systematic review of machine learning techniques for real-time speech and noise classification in hearing aids

2026Disability and Rehabilitation Assistive TechnologyJournal

10.1080/17483107.2026.2671834 Full text0 citations

Authors

8 authors across 2 institutions in 2 countries.

J. ArthurFirst author
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Juliet Arthur
Rose-Mary Owusuaa Mensah GyeningCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Emmanuel Ahene
- Kwame Nkrumah University of Science and Technology (GH)
Prince Dawson Tetteh
- Kwame Nkrumah University of Science and Technology (GH)
Betty Agyei Kponyo
- Kwame Nkrumah University of Science and Technology (GH)
Justice Owusu Agyemang
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Justice Agyemang Owusu
Kate Takyi
- Kwame Nkrumah University of Science and Technology (GH)
Jerry John KponyoSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Hearing Loss and Rehabilitationlevel 3 · 0.86
Speech and Audio Processinglevel 3 · 0.06
Voice and Speech Disorderslevel 3 · 0.04

Sources

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

openalexseen September 5, 2026
2026 · Disability and Rehabilitation Assistive Technology · 0 citations
https://openalex.org/W7161039223

A systematic review of machine learning techniques for real-time speech and noise classification in hearing aids · Sankore