Meta has expanded its Segment Anything Model family with the release of SAM Audio, a unified AI tool designed to transform how audio is edited and processed.
This new model allows creators to isolate specific sounds from complex audio mixtures with remarkable precision.
Users can interact with the tool using three types of prompts: typing text descriptions, such as “dog barking,” clicking on objects in a video that are making noise, or selecting a specific time span.
This flexibility makes professional-grade audio separation accessible for a wide range of applications, from removing background noise in podcasts to isolating musical instruments in concert footage.
SAM Audio is designed to support a wide range of real-world scenarios, aiming to replace fragmented, single-purpose editing tools with a comprehensive solution.
By enabling users to filter and extract audio using intuitive prompts, Meta aims to drive innovation across various industries, including film production, scientific research, and accessibility.
The model is now available for experimentation in the Segment Anything Playground, where users can test its capabilities with pre-loaded assets or their own files. It can also be downloaded for local use.
Key Takeaways:
- SAM Audio isolates sounds using text, visual, and time-based prompts.
- The model is designed for creators, researchers, and audio professionals.
- It is available to try in the Segment Anything Playground or for download.
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