RealTalk: This Speech Synthesis Model Our Engineers Built Recreates a Human Voice Perfectly

Today we’re excited to announce that our Machine Learning Engineers Hashiam Kadhim, Joe Palermo and Rayhane Mama have produced the most realistic AI simulation of a voice we’ve heard to date.

It’s the voice of someone you’ve probably heard of before — Joe Rogan. (For those who haven’t: Joe Rogan is the creator and host one of the world’s most popular podcasts, which to date has nearly 1300 episodes and counting.)

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Source: Medium

WHAT'S SO SPECIAL ABOUT HUMAN SCREAMS? ASK A SCREAMOLOGIST

I SCREAM, YOU scream, we all scream. For ice cream, sure, but also for fear, excitement, sexual pleasure, pain, anger, and—if online commenters are to be believed—memes 😱. Screaming is exhibited by many animals, but no species uses this extreme vocalization in as many different contexts as humans. Though we're pretty good at recognizing a scream when we hear one, the wide variety of screams makes it difficult to pin down what defines them.

To study screams is to probe the fuzzy boundary that separates humans from the rest of the animal kingdom. It is a way to explore our prelinguistic past. Although we are fully symbolic creatures today, on occasion a trace of our primal selves bubbles to the surface in the form of a scream. Understanding its characteristics could improve the treatment of nonverbal patients, help fight crime, or simply make movies more frightening. But first scientists need to explain what makes a scream a scream.

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Source: Wired

Adding audio data helps AI navigate 3D mazes

Sight is the sense on which humans chiefly rely to navigate the world, but sound might be just as important — it’s been shown that people can learn to follow subtle cues in the volume, direction, and speed of audio signals. Inspired by this, scientists at the University of Eastern Finland recently proposed in a preprint paper (“Do Autonomous Agents Benefit from Hearing?“) an AI system that complements visual data with sound. Preliminary results, they say, indicate that the approach improves agents’ ability to complete goals in a 3D maze.

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Source: Venture Beat

Source: Venture Beat