Building a Voice Recognition System with PyTorch by Taking Advantage of Computer Vision Techniques
- Posted by Daitan Innovation Team
- On June 18, 2020
- AI, Biometrics, Computer Vision, Deep Learning, NLP, PyTorch, Voice Recognition
In this piece we describe how we built a reasonably performing Voice Recognition System with PyTorch, using deep learning Computer Vision techniques. With results as good as 90.2% accuracy using different training and testing samples, with only 25% of the original dataset size, we demonstrate how it is currently possible for different AI domains to leverage knowledge from each other to improve their techniques and outcomes.
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