Building a knowledge base using advanced unsupervised deep learning models from structure and unstructured data.
Speech-to-Text and NLP modules auto-learns from unlabelled voice data and user queries and adds to the AI knowledge base.
Authenticate a user’s voice in real-time. All you need is 20-40 seconds of an audio log of a user to train a neural network model.
End-to-end deep learning-based speech recognition, that performs well with noisy environments and different accents
Neural TTS system synthesizes high quality natural sounding speech depicting a human conversation.
Self-learns from user-agent chat. Bot admin can do supervised learning to continuously improve bot performance.
Self Learning AI