facebookresearch/sam-audio

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3612 stars · 330 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SAM-Audio is Meta's foundation model for isolating any sound in audio using text, visual, or temporal prompts. This repository provides inference code, model checkpoints via Hugging Face, and example notebooks for separating specific sounds from complex audio mixtures.

Use cases

• separate a specific sound from an audio mixture using a text description
• isolate a sound in audio based on visual cues from video
• extract audio segments within a given time span
• run inference with the SAM Audio foundation model
• split an audio file into a target sound and residual audio
• download and experiment with Meta's audio segmentation checkpoints

When to choose

• you need prompt-driven audio source separation with natural language descriptions
• you want state-of-the-art sound isolation from a research-grade foundation model
• you have a CUDA GPU and want to integrate audio separation into a Python pipeline

When to avoid

• you need a lightweight CPU-only audio separation tool
• you want a ready-made end-user application rather than a Python library
• you cannot obtain access to the gated Hugging Face checkpoints

Facets

library · maturity active

audio-processing machine-learning deep-learning llm-inference machine-learning artificial-intelligence speech-processing python windows audio-separation source-separation foundation-model segment-anything meta-ai text-prompting audio-visual inference audio gpu linux macos

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