Can We Use Common Voice to Train a Multi-Speaker TTS System? - Sewade Ogun; Vincent Colotte; Emmanuel Vincent 001 (SLT, 2022)

Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS. - Sewade Ogun; Vincent Colotte; Emmanuel Vincent 001 (INTERSPEECH, 2023)

Performant ASR Models for Medical Entities in Accented Speech. - Tejumade Afonja; Tobi Olatunji; Sewade Ogun; Naome A. Etori; Abraham Toluwase Owodunni; Moshood Yekini (INTERSPEECH, 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 (INTERSPEECH, 2024)

Generating diverse synthetic data for ASR training data augmentation. (Synthèse de la parole diversifiée pour l'augmentation des données d'apprentissage de la RAP). - Sewade Ogun (2024)

An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR. - Sewade Ogun; Vincent Colotte; Emmanuel Vincent 001 (CoRR, 2025)

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages. - Chris Emezue; NaijaVoices Community; Busayo Awobade; Abraham Owodunni; Handel Emezue; Gloria Monica Tobechukwu Emezue; Nefertiti Nneoma Emezue; Sewade Ogun; Bunmi Akinremi; David Ifeoluwa Adelani; Chris Pal (CoRR, 2025)