NVIDIA Develops New AI Model 'FUGATTO' Calls It A Swiss Army Knife for Sound

NVIDIA recently unveiled Fugatto, a generative Al model designed to transform text prompts into audio. Officially named the Foundational Generative Audio Transformer Opus 1, Fugatto is capable of creating music, modifying existing sounds, and even generating speech with specific emotions and accents.

NVIDIA touts Fugatto as the world's most flexible sound machine. This Text-to-Audio (TTA) AI model can create and transform any combination of music, voices, and sounds using text prompts. Fugatto can generate music, modify existing sounds, and even create speech with specific emotions and accents.

NVIDIA has not yet disclosed plans to make Fugatto publicly available due to concerns about potential misuse, such as deepfake audio and copyright infringement.

Key Features:

  • Versatility: Fugatto can generate or transform any mix of music, voices, and sounds described with text prompts.
  • Applications: It has potential uses in music production, language education, and game development.
  • Advanced Capabilities: The model can create speech that conveys specific emotions, like anger, in a chosen accent, or craft soundscapes that evolve over time.
    • The model can create soundscapes that evolve over time and produce unique sounds never heard before.


Fugatto was made by a diverse group of people from around the world, including India, Brazil, China, Jordan and South Korea. Their collaboration made Fugatto’s multi-accent and multilingual capabilities stronger.

Similar to NVIDIA's Fugatto TTA, OpenAI's TTS models are part of their broader suite of AI tools, offering high-quality text-to-speech capabilities for different applications. Microsoft Azure's text-to-speech service is integrated into various applications, providing natural and lifelike voices for different languages.

It is to be noted that several other AI companies have also developed impressive text-to-audio models similar to NVIDIA's Fugatto. For an example, ElevenLabs, known for its natural-sounding voices in multiple languages, offers a range of AI audio solutions, including text-to-speech, voice cloning, and dubbing.

Deepgram's Aura model is designed for real-time conversations with less than 200ms latency, making it ideal for applications like IVR systems and AI agents.

WellSaid Labs is a company that provides flexible voiceover tools that convert plain text into emotion-filled speech, suitable for various use cases like presentations and educational content.

How Fugatto TTA is different from Text-to-Speech (TTS) AI Models

NVIDIA's Fugatto stands out from other AI Text-To-Audio (TTS) models due to its versatility and flexibility. Fugatto can combine, interpolate, or negate instructions using both text and audio inputs, allowing for highly customizable audio outputs. This means it can create entirely new sounds never heard before, modify existing tracks by adding or removing instruments, and change accents or emotions in voices.

Unlike models trained solely on audio data, Fugatto can follow free-form text instructions, making it easier to control and fine-tune the audio output.

Fugatto is designed for unsupervised multitask learning in audio synthesis and transformation, which means it can handle a wide range of tasks without needing separate models for each.

The Fugatto model is particularly useful for music producers, ad agencies, language learning tools, and video game developers, offering a new tool for creating and modifying audio content.

These features make Fugatto a powerful and unique tool in the realm of AI-driven audio generation and transformation.
Advertisements

Post a Comment

Comment

Previous Post Next Post