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Generative AI in Voice Technology

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Yishay Carmiel on Speech Synthesis, Voice Conversion, and the Future of AI in Voice Technology.

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Yishay Carmiel is the CEO of Meaning, a startup building real-time generative AI systems focused on voice applications. In this episode, we explore the cutting-edge advancements in generative AI for voice technologies, delving into key areas such as speech recognition, text-to-speech synthesis, voice conversion, and neural codecs. We also discuss the ethical and security challenges posed by these technologies and look at future directions and opportunities, including the growing adoption and innovation in the field. Join us as we unpack the practical applications, implications, and governance needed to harness the power of AI-driven voice systems responsibly. [Yishay uses a slide presentation to guide our conversation, check the video version of this episode if you want to see his presentation.]

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Interview highlights – key sections from the video version:

  1. Demo of real-time speech synthesis
  2. Speech Technologies: From Analysis to Synthesis
  3. Future Scenarios for Speech-Based Interfaces
  4. Voice Agents and the Role of Generative AI in Audio
  5. Core Pillars of Speech Technologies: Recognition, Profiling, Synthesis
  6. Impact of Generative AI on Voice Acting and Content Creation
  7. Challenges and Opportunities in Voice Cloning and Style Transfer
  8. Technological Advances in Speech-to-Speech Systems
  9. The Shift from Classical Speech Models to New Approaches
  10. Voice Conversion: Concepts and Demonstration
  11. Open Source Tools for Voice Conversion
  12. Exploration of Multi-Speaker Text-to-Speech Systems
  13. Application of LLMs to Speech Technologies
  14. Neural Codecs and Their Role in Voice Compression

 

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[Ben Lorica is an advisor to Meaning and other startups.]

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