Tobi Olatunji

According to our database, Tobi Olatunji authored at least 19 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

AfriVox-v2: A Domain-Verticalized Benchmark for In-the-Wild African Speech Recognition.

Busayo Awobade, Gabrial Zencha Ashungafac, Tobi Olatunji

CoRR, May, 2026

AfriVox: Probing Multilingual and Accent Robustness of Speech LLMs.

Busayo Awobade, Mardhiyah Sanni, Tassallah Abdullahi, Chibuzor Okocha, Kelechi Ezema, Devendra Deepak Kayande, Lukman E. Ismaila, Tobi Olatunji, Gloria Ashiya Katuka

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?

Ayo Adedeji, Mardhiyah Sanni, Emmanuel Ayodele, Sarita Joshi, Tobi Olatunji

CoRR, January, 2025

Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations.

Vijaytha Muralidharan, Madelena Y. Ng, Shada Alsalamah, Sameer Pujari, Kanika Kalra, Rajeshwari Singh, Denise Schalet, Tobi Olatunji, Rohit Malpani, Rubeta N. Matin, Jesutofunmi A. Omiye, Yu Zhao, Anita Sands, Andreas Reis, Jose Eduardo Diaz Mendoza, Tina Hernandez-Boussard, Roxana Daneshjou, Alain B. Labrique

npj Digit. Medicine, 2025

Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond.

Mardhiyah Sanni, Tassallah Abdullahi, Devendra Deepak Kayande, Emmanuel Ayodele, Naome A. Etori, Michael S. Mollel, Moshood Yekini, Chibuzor Okocha, Lukman E. Ismaila, Folafunmi Omofoye, Boluwatife Adeleye Adewale, Tobi Olatunji

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

AfriSpeech-MultiBench: A Verticalized Multidomain Multicountry Benchmark Suite for African Accented English ASR.

Gabrial Zencha Ashungafac, Mardhiyah Sanni, Busayo Awobade, Alex Gichamba, Tobi Olatunji

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset.

Charles Nimo, Tobi Olatunji, Abraham Toluwase Owodunni, Tassallah Abdullahi, Emmanuel Ayodele, Mardhiyah Sanni, Ezinwanne C. Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F. P. Dossou, Moshood O. Yekini, Jonas Kemp, Katherine A. Heller, Jude Chidubem Omeke, Chidi Asuzu MD, Naome A. Etori, Aimérou Ndiaye, Ifeoma Okoh, Evans Doe Ocansey, Wendy Kinara, Michael L. Best, Irfan Essa, Stephen Edward Moore, Chris Fourie, Mercy Nyamewaa Asiedu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A scoping review of reporting gaps in FDA-approved AI medical devices.

Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta, Peter Oluwaduyilemi Ademiju, Pirunthan Pathmarajah, Man Kien Hang, Oluwafolajimi Adesanya, Ridwanullah Olamide Abdullateef, Abdulhammed Opeyemi Babatunde, Abdulquddus Ajibade, Sonia Onyeka, Zhou Ran Cai, Roxana Daneshjou, Tobi Olatunji

npj Digit. Medicine, 2024

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset.

Tobi Olatunji, Charles Nimo, Abraham Toluwase Owodunni, Tassallah Abdullahi, Emmanuel Ayodele, Mardhiyah Sanni, Chinemelu Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F. P. Dossou, Moshood Yekini, Jonas Kemp, Katherine A. Heller, Jude Chidubem Omeke, Chidi Asuzu MD, Naome A. Etori, Aimérou Ndiaye, Ifeoma Okoh, Evans Doe Ocansey, Wendy Kinara, Michael L. Best, Irfan Essa, Stephen Edward Moore, Chris Fourie, Mercy Nyamewaa Asiedu

CoRR, 2024

1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis.

Sewade Ogun, Abraham Toluwase Owodunni, Tobi Olatunji, Eniola Alese, Babatunde Oladimeji, Tejumade Afonja, Kayode Olaleye, Naome A. Etori, Tosin P. Adewumi

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Performant ASR Models for Medical Entities in Accented Speech.

Tejumade Afonja, Tobi Olatunji, Sewade Ogun, Naome A. Etori, Abraham Toluwase Owodunni, Moshood Yekini

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents.

Abraham Toluwase Owodunni, Aditya Yadavalli, Chris Emezue, Tobi Olatunji, Clinton Mbataku

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR.

Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, Chris Chinenye Emezue, Sahib Singh, Bonaventure F. P. Dossou, Joanne I. Osuchukwu, Salomey Osei, Atnafu Lambebo Tonja, Naome A. Etori, Clinton Mbataku

Trans. Assoc. Comput. Linguistics, 2023

Adapting Pretrained ASR Models to Low-resource Clinical Speech using Epistemic Uncertainty-based Data Selection.

Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Tobi Olatunji, Naome A. Etori, Salomey Osei, Tosin P. Adewumi, Sahib Singh

CoRR, 2023

AfriNames: Most ASR models "butcher" African Names.

Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Amina Mardiyyah Rufai, Sahib Singh

Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2020

On the diminishing return of labeling clinical reports.

Jean-Baptiste Lamare, Tobi Olatunji, Li Yao

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Learning to estimate label uncertainty for automatic radiology report parsing.

Tobi Olatunji, Li Yao

CoRR, 2019

Caveats in Generating Medical Imaging Labels from Radiology Reports.

Tobi Olatunji, Li Yao, Ben Covington, Alexander Rhodes, Anthony Upton

CoRR, 2019

2018

Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction.

Nithya Attaluri, Ahmed Nasir, Carolynne Powe, Harold Racz, Ben Covington, Li Yao, Jordan Prosky, Eric Poblenz, Tobi Olatunji, Kevin Lyman

CoRR, 2018