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016: Introducing Pheme, the speech generation model built to scale.

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Manage episode 394902056 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In this insightful episode, host Kylie Whitehead converses with Dr. Ivan Vulić, a Senior Scientist at PolyAI and a Principal Research Associate at the University of Cambridge. They discuss the development and advantages of 'Pheme', a new, more efficient model for voice generation developed by PolyAI. Unlike existing Text-To-Speech (TTS) models, Pheme is designed to generate more conversational and natural sounding speech, which can be tailored to the unique needs of different businesses and used for brand voices. They also touch on the balance between performance and quality in building conversational systems, and the ethical considerations surrounding voice synthesis.

  • Follow PolyAI on LinkedIn
  • Watch this and other episodes of the Deep Learning pod on YouTube
  continue reading

91 episodes

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iconShare
 
Manage episode 394902056 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In this insightful episode, host Kylie Whitehead converses with Dr. Ivan Vulić, a Senior Scientist at PolyAI and a Principal Research Associate at the University of Cambridge. They discuss the development and advantages of 'Pheme', a new, more efficient model for voice generation developed by PolyAI. Unlike existing Text-To-Speech (TTS) models, Pheme is designed to generate more conversational and natural sounding speech, which can be tailored to the unique needs of different businesses and used for brand voices. They also touch on the balance between performance and quality in building conversational systems, and the ethical considerations surrounding voice synthesis.

  • Follow PolyAI on LinkedIn
  • Watch this and other episodes of the Deep Learning pod on YouTube
  continue reading

91 episodes

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