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Cocktail Fork MRX Adapted Loudness

Apple MLX port of MERL's MRX (Multi-Resolution CrossNet) — separates a soundtrack mixture into music, speech, and sound effects (sfx).

TipoOtherVersãoRevision 3025268Bnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
117 MB
Versão
vRevision 3025268
Atualizado
24 de out. de 2026
Downloads
23
Fonte
Hugging Face

Descrição da fonte

Cocktail-Fork-MRX — adapted-loudness variant (MLX)

Apple MLX port of MERL's MRX (Multi-Resolution CrossNet) — separates a soundtrack mixture into music, speech, and sound effects (sfx).

This variant uses the adapted_loudness_ checkpoint: adapted with loudness normalization for better alignment with real cinematic/movie stems. Try this (and -adapted-eq) on real soundtrack content.

Other variants: Cocktail-Fork-MRX (default) · -paper (ICASSP reproduction) · -adapted-eq.

Usage

pip install git+https://github.com/xocialize/cocktail-fork-mlx
cocktail-fork-mlx --audio-path soundtrack.wav --out-dir ./out \
    --weights mlx-community/Cocktail-Fork-MRX-adapted-loudness

~30.6M params, fp32 (122 MB), 44.1 kHz. MIT, © MERL for the original model/weights.

Fontes

1 fonte
Hugging FacePrimárioVersão 30252686faf27116a071ae69384b27936b3e81b6
huggingface.co/mlx-community/Cocktail-Fork-MRX-adapted-loudness/tree/30252686faf27116a071ae69384b27936b3e81b6

Verificado 24 de out.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 117 MB · SHA-256 72cd1ed6c84d…f3af · Hugging Face

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Trechos de fonte

3 trechos

--- license: mit library_name: mlx tags: - mlx - audio - audio-source-separation - speech - music - apple-silicon pipeline_tag: audio-to-audio --- # Cocktail-Fork-MRX — `adapted-loudness` variant (MLX) Apple **MLX** port of MERL's **MRX** (Multi-Resolution CrossNet) — separates a soundtrack mixture into **music**, **speech**, and **sound effects (sfx)**. **This variant** uses the `adapted_loudness_` checkpoint: adapted with **loudness normalization** for better alignment with real cinematic/movie stems. Try this (and `-adapted-eq`) on real soundtrack content. Other variants: [`Cocktail-Fork-MRX`](https://huggingface.co/mlx-community/Cocktail-Fork-MRX) (default) · [`-paper`](https://huggingface.co/mlx-community/Cocktail-Fork-MRX-paper) (ICASSP reproduction) · [`-adapted-eq`](https://huggingface.co/mlx-community/Cocktail-Fork-MRX-adapted-eq). - **Upstream:** [merlresearch/cocktail-fork-separation](https://github.com/merlresearch/cocktail-fork-separation) (MIT) · *The Cocktail Fork Problem*, ICASSP 2022. - **Parity:** numerically exact vs PyTorch (full-forward max_abs ≈ `6e-7`). ## Usage ```bash pip install git+https://github.com/xocialize/cocktail-fork-mlx cocktail-fork-mlx --audio-path soundtrack.wav --out-dir ./out \ --weights mlx-community/Cocktail-Fork-MRX-adapted-loudness ``` ~30.6M params, fp32 (122 MB), 44.1 kHz. MIT, © MERL for the original model/weights.

Source context: 23 downloads · 1 likes · Pipeline audio-to-audio · Library mlx · Repo mlx-community/Cocktail-Fork-MRX-adapted-loudness

Source context: 10 downloads · 1 likes · Pipeline audio-to-audio · Library mlx · Repo mlx-community/Cocktail-Fork-MRX-adapted-loudness