Nvidia 'Fugatto' AI Model Can Invent Completely New Sounds
The advent of generative AI models has allowed us to create that which does not exist. Whether it's an image that came to you in a dream or ideas for a dinner party you forgot to plan, all you have to do is ask the right model. Nvidia's latest AI demo ...
Nvidia shows AI model that can modify voices, generate novel sounds
Nvidia's new model was trained on open-source data, and the company said it is still debating whether and how to release it publicly.
Nvidia’s new AI model makes music from text and audio prompts
Nvidia unveiled a new AI model on Monday called Fugatto that can create sounds, music, and clone and modify voices, based on the user's audio and text prompts.
Meet Fugatto — an impressive new AI sound model from Nvidia
Graphics and AI giant NVIDIA has announced a new AI model called Fugatto (short for Foundational Generative Audio Transformer Opus 1). Developed by an international team of researchers. It is being billed as "the world’s most flexible sound machine" taking on ElevenLabs and AI music maker Suno in one hit.
Nvidia announces AI model that generates novel sounds, modifies voices
In a blog post, Nvidia (NVDA) introduced Fugatto, short for Foundational Generative Audio Transformer Opus 1, an AI model that generates or
Nvidia unveils AI audio model
CNBC's Deidre Bosa joins 'The Exchange' with the latest details about Nvidia.
Nvidia’s new AI audio model can synthesize sounds that have never existed
At this point, anyone who has been following AI research is long familiar with generative models that can synthesize speech or melodic music from nothing but text prompting. Nvidia's newly revealed "Fugatto" model looks to go a step further,
Nvidia Promises Never-Before-Heard Sounds With Its New AI Audio Generator
Nvidia’s Fugatto is designed for ‘film or audio productions,’ but it can also create the sound of a saxophone howling like a dog.
Nvidia claims a new AI audio generator can make sounds never heard before
To build Fugatto, Nvidia says researchers had to put together a dataset with millions of audio samples. They then created instructions “that considerably expanded the range of t
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