ACL · 2026 · Conference paper

Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages

U. Umar, S. Bashir, A. D. Mohammed, A. G. Tafida

Published in: Annual Meeting of the Association for Computational Linguistics
Citations: 0

Cite

@inproceedings{umar2026thesis,
  title = {Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages},
  author = {U. Umar and S. Bashir and A. D. Mohammed and A. G. Tafida},
  year = {2026},
  booktitle = {Annual Meeting of the Association for Computational Linguistics},
  doi = {10.18653/v1/2026.acl-srw.67},
  url = {https://doi.org/10.18653/v1/2026.acl-srw.67},
}