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A Revolutionary AI Framework Generates Convincing Speech Using YouTube and Podcast Data

In Brief

Researchers at Carnegie Mellon have developed an innovative AI framework that can create realistic speech by analyzing YouTube videos alongside podcasts. This model is adept at producing diverse voices and accents, which opens up exciting possibilities for sectors like entertainment and marketing. Its capabilities could also greatly assist individuals who depend on assistive tech to express themselves. podcasts .

This groundbreaking AI model is synthesizing highly realistic speech using content from platforms like YouTube and podcasts.

This AI framework is skilled at accurately replicating the subtleties of human speech intonations and rhythms. have created This marks a notable advancement, as prior AI-generated voices often sounded flat and lifeless, primarily because they were based on datasets comprised of professional voice actors. This new technology holds promise for enhancing the interactive nature of virtual assistants and chatbots, making them resonate more with users. Its potential is also vast in sectors such as gaming, educational technologies, and entertainment.

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Remarkably, this AI model has learned the intricacies of everyday speech, including pauses, hesitations, and filler words, after processing nearly 900 hours of content from YouTube and podcasts. As a result, its synthetic voice achieved a remarkable rating of 3.89 on a scale of five during evaluations, surpassing the typical scores recorded for similar AI models (where a human voice was rated at 4.01).

The applications for this technology are extensive, with possibilities including aiding individuals with speech disabilities, enhancing navigation systems, and developing virtual assistants that sound more organic.

Read more: This program is noted as the first-ever podcast created entirely by AI, featuring a humorous take on Joe Rogan in conversation with Steve Jobs. Crafted through sophisticated algorithms, the AI was trained specifically with data from Jobs' biography and various recorded speeches to mimic his essence authentically.

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Damir heads the team as product manager and editor at Metaverse Post, focusing on subjects like AI, AGI, LLMs, and developments within the Metaverse and Web3. His work reaches an impressive audience of over a million visitors each month. With a decade of expertise in digital marketing and SEO, he has featured in reputable publications such as Mashable, Wired, Cointelegraph, and more. As a digital nomad, he navigates between the UAE, Turkey, Russia, and CIS countries. Having a physics degree, he believes it has helped him cultivate the critical thinking necessary to adapt successfully within the rapidly evolving digital landscape.

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AI is influencing healthcare through various channels—discoveries of new genetic relationships, enhancing robotic surgery, and more.

A Novel AI Framework Crafts Lifelike Speech Using YouTube and Podcasts - Metaverse Post

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Innovators at Carnegie Mellon University in the United States have developed a groundbreaking AI system capable of generating speech that closely resembles human vocal patterns by learning from various online platforms.

A Cutting-Edge AI Framework Generates Lifelike Speech by Analyzing YouTube Content and Podcasts

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