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NaijaFaceVoiceDB is a large scale dataset of 2,656 subjects(of Nigerian Origin) with over 2 million faces and 195 hours of utterances.
The face and voice datasets can be used independently to build deep learning/transformer based unimodal biometric models while they can be combined to build bimodal models.
Furthermore, the voice datasets can be used to build pretrained speech based GenAI models or finetune existing pretrained models.
The publication based on this large scale dataset in IEEE Access can be downloaded at the following URL:
https://ieeexplore.ieee.org/abstract/document/10143626
Citation(if you use this dataset in your work):
Adekunle Anthony Akinrinmade, Emmanuel Adetiba, Joke A. Badejo, and Oluwadamilola Oshin. "NaijaFaceVoice: A Large-Scale Deep Learning Model and Database of Nigerian Faces and Voices." IEEE Access 11 (2023): 58228-58243.
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