Everyday AI Podcast – An AI and ChatGPT Podcast cover image

Everyday AI Podcast – An AI and ChatGPT Podcast

EP 152: Turning Snoop Dogg's Voice Into AI - The Speechify Story

Nov 27, 2023
Cliff Weitzman, the dyslexic Founder and CEO of Speechify, discusses the fascinating world of AI voice technology. He reveals how celebrity voices like Snoop Dogg’s are being integrated into text-to-speech applications, enhancing user engagement. The conversation also dives into ethical concerns surrounding AI voice cloning, addressing safety and consent. Cliff shares insights on the practical uses of Speechify in professional settings, emphasizing its impact on accessibility and learning, while hinting at a future where written words might take a backseat to spoken ones.
35:18

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Text-to-speech technology, like Speechify, is revolutionizing the way people consume information and learn, allowing multitasking and faster information intake.
  • As text-to-speech technology becomes more advanced, it is crucial to establish guidelines and regulations to protect individuals' voices, prevent impersonation, and address potential misuse of synthetic voices.

Deep dives

The Future of Text-to-Speech and Generative AI

Text-to-speech technology, like Speechify, is revolutionizing the way people consume information and learn. It allows individuals to listen to content instead of reading, enabling multitasking and faster information intake. With advancements in AI and language models, text-to-speech voices have become more realistic and customizable. Platforms like Speechify offer a wide range of voices, including celebrity voices like Snoop Dogg and Gwyneth Paltrow. These partnerships with celebrities not only enhance user experience but also create new opportunities for content consumption and personalization. The future of text-to-speech looks promising, with expanding language support, improved voice quality, and potential integration with other AI technologies like machine translation and voice cloning.

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