Introducing Stable Audio Open: Free Audio Samples Model

BY Mark Howell 5 June 20244 MINS READ
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Today in Edworking News we want to talk about Introducing Stable Audio Open - An Open Source Model for Audio Samples and Sound Design

Key Takeaways:

Stable Audio Open is an open-source text-to-audio model for generating up to 47 seconds of samples and sound effects. Users can create drum beats, instrument riffs, ambient sounds, foley and production elements. The model enables audio variations and style transfer of audio samples.
We’re excited to announce Stable Audio Open, an open-source model optimized for generating short audio samples, sound effects, and production elements using text prompts. This release marks a key milestone as we further open portions of our generative audio capabilities to empower sound designers, musicians, and creative communities.

What is Stable Audio Open?

Stable Audio Open allows anyone to generate up to 47 seconds of high-quality audio data from a simple text prompt. Its specialized training makes it ideal for creating:

  • Drum beats

  • Instrument riffs

  • Ambient sounds

  • Foley recordings

Other audio samples for music production and sound design.
A key benefit of this open source release is that users can fine-tune the model on their own custom audio data. For example, a drummer could fine-tune on samples of their own drum recordings to generate new beats.

  • Image description: AI-generated sound waves representing creativity and innovation in sound design.

How is it Different from Stable Audio?

Our commercial Stable Audio product produces high-quality, full tracks with coherent musical structure up to three minutes in length, as well as advanced capabilities like audio-to-audio generation and coherent multi-part musical compositions.
Stable Audio Open, on the other hand, specializes in audio samples, sound effects, and production elements. While it can generate short musical clips, it is not optimized for full songs, melodies, or vocals. This open model provides a glimpse into generative AI for sound design while prioritizing responsible development alongside creative communities.
The new model was trained on audio data from FreeSound and the Free Music Archive. This allowed us to create an open audio model while respecting creator rights.

Getting Started

The Stable Audio Open model weights are available on Hugging Face. We encourage sound designers, musicians, developers, and audio enthusiasts to download the model, explore its capabilities, and provide feedback. While an exciting step forward, this is still just the beginning for open and responsible audio generation capabilities. We look forward to continuing research and prioritizing development hand-in-hand with creative communities. Let the open exploration of AI audio begin!

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Remember these 3 key ideas for your startup:

  1. Embrace Open Source Solutions: By using open source models like Stable Audio Open, startups can innovate without significant up-front investment. This empowers SMEs with cutting-edge tools at no cost, fostering creativity and enabling unique product offerings.

  2. Enhance Customization: The ability to fine-tune the model with custom data gives startups unparalleled flexibility. This means you can tailor the audio outputs to meet specific branding needs or client requirements, making your product stand out.

  3. Leverage Community Feedback: Actively encourage and incorporate feedback from users to improve the model. Engaging with the creative communities on platforms like Discord and social media enhances product development and user satisfaction.
    For more details, you can explore the Hugging Face page. The new wave of audio innovation is here, and your startup can be at the forefront.

    By following these strategic points, your startup or SME can leverage Stable Audio Open to pave the way for innovative audio solutions, enhancing your productivity and market presence.

    Explore more about Stable Audio Open for more details, see the original source.

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About the Author: Mark Howell Linkedin

Mark Howell is a talented content writer for Edworking's blog, consistently producing high-quality articles on a daily basis. As a Sales Representative, he brings a unique perspective to his writing, providing valuable insights and actionable advice for readers in the education industry. With a keen eye for detail and a passion for sharing knowledge, Mark is an indispensable member of the Edworking team. His expertise in task management ensures that he is always on top of his assignments and meets strict deadlines. Furthermore, Mark's skills in project management enable him to collaborate effectively with colleagues, contributing to the team's overall success and growth. As a reliable and diligent professional, Mark Howell continues to elevate Edworking's blog and brand with his well-researched and engaging content.

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