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Building voice AI that listens to everyone: Transfer learning and synthetic speech in action
Enterprises adopting voice AI must consider not just usability, but inclusion. Supporting users with disabilities is a market opportunity.
In my experience leading development of hands-free calling, beamforming arrays and wake-word systems, I have often asked: What happens when a user’s voice falls outside the model’s comfort zone? By training models on nonstandard speech data and applying transfer learning techniques, conversational AI systems can begin to understand a wider range of voices. For individuals using text-to-speech interfaces, conversational AI can now offer dynamic responses, sentiment-based phrasing, and prosody that matches user intent, bringing personality back to computer-mediated communication.
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