Papers by Amina Gogo Tafida
Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages (2026.acl-srw)
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| Challenge: | Existing multilingual and pretrained ASR systems improve general recognition accuracy but are weak at switch regions and are sensitive to language imbalance during adaptation. |
| Approach: | They propose a self-adaptive and epistemic uncertainty-guided framework for African low-resource code-switched ASR using Hausa–English and Hausa-Yorùbá as case studies. |
| Outcome: | The proposed framework is based on Hausa–English and Hausa-Yorùbá as case studies. |