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Meta Introduces Audiocraft: An Innovative AI Tool for Creating Audio and Music from Written Prompts

As part of its strategy to keep pace with other tech giants in the AI competition, Meta has been steadily rolling out a range of AI solutions, the latest being Audiocraft. This tool is designed to generate both audio and music from simple text prompts.

The AudioCraft suite includes three distinct models: MusicGen , AudioGen and EnCodec MusicGen, for instance, has been trained using nearly 400,000 audio recordings coupled with descriptive text and metadata, amounting to around 20,000 hours of music that is either owned or specially licensed by Meta. It produces musical compositions from written inputs, while AudioGen, which draws from a collection of public sound effects, crafts audio from textual requests.

Today, Meta has unveiled an enhanced version of its EnCodec decoder, which facilitates the generation of higher-quality music. At the same time, the company is rolling out its pre-trained AudioGen models, allowing users to create a wide variety of ambient sounds and sound effects, such as animal noises, vehicular sounds, or the sound of footsteps on different surfaces. In addition, Meta plans to make the full set of AudioCraft model weights and their code available to the public.

These models will be made open-source, enabling researchers and developers to tailor their own models using custom datasets. Meta asserts that the AudioCraft model family is built to offer superior audio quality while being accessible for user engagement.

"We envision the AudioCraft models as essential instruments for music producers and sound engineers, providing them with inspiration, expediting brainstorming sessions, and presenting new avenues for the iterative process of music composition,\"

Meta wrote in a blog post .

AudioCraft stands out as a cohesive platform that integrates music production, sound creation, compression techniques, and generation capabilities, all within a singular framework. Those interested in constructing superior sound generation tools, compression algorithms, and more can do so using the same code base, leveraging the groundwork established by their peers in the industry. music generators Please keep in mind that the information shared on this page is not intended to serve as legal, tax, investment, or financial advice in any capacity. It's crucial to invest only what you can afford to lose and to seek independent financial consultation if you have any uncertainties. For further guidance, we recommend checking the terms and conditions as well as the help and support sections provided by the issuer or advertiser. MetaversePost is dedicated to delivering accurate and impartial reporting, while acknowledging that market conditions can change without prior notice.

Disclaimer

In line with the Trust Project guidelines Cindy is a journalist at Metaverse Post who focuses on web3, NFTs, the metaverse, and AI, emphasizing interviews with key figures in the Web3 space. She has conducted conversations with over 30 C-level executives, providing valuable insights to readers. Originally from Singapore, she now resides in Tbilisi, Georgia. Cindy holds a Bachelor's degree in Communications & Media Studies from the University of South Australia and boasts a decade of experience in journalism and writing.

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