How to Make Synthetic Robert

1min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

Ryan gave us a quick refresher on the basics of how she made synthetic Robert. She had a computer look at some written text and then guess how Robert Smith would say those words. Then the computer checked its guess against a real recording of Robert Smith, saw how far off it was, tweaked its approach, tried it again over and over and over hundreds of thousands of times.

In Part 1 of this series, AI proved that it could use real research and real interviews to write an original script for an episode of Planet Money. Our next task was to teach the computer how to sound like us. How to read that script aloud like a Planet Money host.

On today's show, we explore the world of AI-generated voices, which have become so lifelike in recent years that they can credibly imitate specific people. To test the limits of the technology, we attempt to create our own synthetic voice by training a computer on recordings of former Planet Money host Robert Smith. Then we introduce synthetic Robert to his very human namesake.

There are a lot of ethical, and economic, questions raised by a technology that can duplicate anyone's voice. To help us make sense of it all, we seek the advice of an artist who has embraced AI voice clones: the musician Grimes.

This episode was produced by Emma Peaslee and Willa Rubin, with help from Sam Yellowhorse Kesler. It was edited by Keith Romer and fact-checked by Sierra Juarez. Engineering by James Willetts. Jess Jiang is our acting executive producer.

We built a Planet Money AI chat bot. Help us test it out: Planetmoneybot.com.

Help support Planet Money and get bonus episodes by subscribing to Planet Money+ in Apple Podcasts or at plus.npr.org/planetmoney.

Learn more about sponsor message choices: podcastchoices.com/adchoices

NPR Privacy Policy