Deep Learning Techniques for Improving Generative AI in Voice Communication
Deep learning techniques are a subset of machine learning techniques designed to learn patterns and representations in data, particularly in large and complex datasets. These techniques are particularly useful for improving generative AI in voice communication.
About the Speaker
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Kumar Saurav
Mr. Kumar Saurav is the Co-Founder and CTO of Vodex.ai, a technology StartUp that specializes in Generative AI-powered solutions for businesses. Vodex helps businesses with automating outbound phone calls for scenarios like sales, marketing, customer onboarding, phone call notification, etc using Conversational AI and NLP.
Event Agenda
Join E2E Cloud and Mr. Kumar Saurav, Co-Founder, and CTO of Vodex.ai, to discuss deep learning techniques for improving generative AI in voice communication.
Join this webinar to learn:
- generative AI and its role in voice communication, including the potential benefits and challenges.
- deep learning techniques commonly used in generative AI
- the techniques used for speech synthesis, including text-to-speech and speech-to-speech conversion, and how deep learning can improve the quality and accuracy of these processes.
- the techniques used for speaker verification and how deep learning can improve accuracy and reduce error rates.
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