NaijaVoices is a 1,838-hour, 5,455-speaker speech-text corpus for Igbo, Hausa, and Yoruba whose use in fine-tuning cuts Word Error Rates by 42-76% relative to unadapted baselines.
Concretely, we finetune three selected ASR models on our dataset and evaluate them on both our test set (NV Test) and the FLEURS test set [20]
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The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages
NaijaVoices is a 1,838-hour, 5,455-speaker speech-text corpus for Igbo, Hausa, and Yoruba whose use in fine-tuning cuts Word Error Rates by 42-76% relative to unadapted baselines.