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Audio & Video Data
Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.
Co-founder & CEO | Caltech CS dropout | Published research on an AI model that could detect lung disease through cough sounds at 17 y/o (IEEE Xplore) and led research study to collect hard-to-get patient audio data @MIT at 18 y/o | Built biosensors for chronic kidney disease @Caltech and another for iron deficiency (for fun!). I also like dance!
We provide real voice and video data for developing realistic AI.
Liva provides real, consented human voice and video datasets collected in-house for training AI models to achieve human-like voice and video generation. The datasets cover diverse languages, accents, emotions, and contexts, and are rights-cleared for lab or research use.
Formerly “Symbia” · why startups rename →
Audio and Enterprise Human Data for AI
Voice data for AI
