Audio-to-Audio
MLX
Safetensors
English
semamba
speech-enhancement
denoising
mamba
ssm
dramabox
apple-silicon
non-commercial
Instructions to use appautomaton/re-use-semamba-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/re-use-semamba-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir re-use-semamba-mlx appautomaton/re-use-semamba-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Add model card
Browse files
README.md
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---
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library_name: mlx
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pipeline_tag: audio-to-audio
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language:
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- en
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license: other
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license_name: nvidia-source-code-license-nc
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license_link: https://huggingface.co/nvidia/RE-USE
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base_model:
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- nvidia/RE-USE
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tags:
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- mlx
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- semamba
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- speech-enhancement
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- denoising
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- mamba
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- ssm
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- dramabox
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- apple-silicon
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- non-commercial
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---
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# RE-USE SEMamba Speech Enhancement (MLX)
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[](https://github.com/appautomaton/mlx-speech)
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[](https://appautomaton.github.io)
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[](https://huggingface.co/appautomaton/dramabox-tts-3.3b-bf16-mlx)
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Pure-MLX conversion of [NVIDIA RE-USE](https://huggingface.co/nvidia/RE-USE), a
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~9.6M-parameter SEMamba universal speech-enhancement model. In
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[mlx-speech](https://github.com/appautomaton/mlx-speech) it cleans a voice
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reference before VAE conditioning when [DramaBox TTS](https://huggingface.co/appautomaton/dramabox-tts-3.3b-bf16-mlx)
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runs with `denoise_ref=True`, giving the cloning model a clean speaker anchor.
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> **Non-commercial weights.** These weights derive from NVIDIA RE-USE, licensed
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> under the NVIDIA Source Code License (non-commercial). See the License section.
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## Model Details
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- Developed by: [App Automaton](https://appautomaton.github.io)
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- Upstream model: [`nvidia/RE-USE`](https://huggingface.co/nvidia/RE-USE) (SEMamba, bidirectional Mamba over STFT magnitude + phase)
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- Role: input-side voice-reference denoiser for DramaBox `denoise_ref=True`. Optional, off by default.
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- Conversion: format-only port of the fp32 weights to MLX `.safetensors` (1416 keys, ~9.6M params). No quantization, no architecture change.
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- Runtime: pure MLX on Apple Silicon. The selective scan mirrors the `mamba_ssm` `selective_scan_ref` reference math, so no CUDA kernels (`mamba-ssm` / `causal-conv1d`) are required.
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- Parity: the MLX port matches the torch reference at amplitude-weighted complex correlation 0.9998 (model) and 0.9997 (end-to-end waveform on real speech).
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## Contents
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| File | Component | Format | Size |
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| --- | --- | --- | --- |
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| `model.safetensors` | SEMamba enhancer | fp32 | ~38 MB |
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| `config.json` | Model + STFT config | JSON | n/a |
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## How to Get Started
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Used automatically by DramaBox when you opt in:
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```python
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import mlx_speech
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tts = mlx_speech.tts.load("dramabox")
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result = tts.generate(
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"Voice cloning from a noisy reference.",
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reference_audio="noisy_speaker.wav",
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denoise_ref=True, # cleans the reference with this model first
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)
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```
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`tts.load("dramabox")` resolves these weights automatically. To run the enhancer
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directly:
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```bash
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hf download appautomaton/re-use-semamba-mlx --local-dir models/reuse/mlx
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```
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```python
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from pathlib import Path
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from mlx_speech.generation.reuse import REUSEEnhancer
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enhancer = REUSEEnhancer.from_dir(Path("models/reuse/mlx"))
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clean = enhancer.enhance(noisy_waveform, in_sr=16000) # mono in, mono out
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```
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## Intended Use
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Denoising a short voice-reference clip before voice cloning, so the model
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conditions on a clean speaker/style anchor rather than the recording's noise.
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The enhancer runs on the reference input, never on generated output, so the
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TTS model's paralinguistic events (breaths, laughs) are preserved.
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## Links
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- Source code: [`appautomaton/mlx-speech`](https://github.com/appautomaton/mlx-speech)
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- Paired model: [`appautomaton/dramabox-tts-3.3b-bf16-mlx`](https://huggingface.co/appautomaton/dramabox-tts-3.3b-bf16-mlx)
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- More from App Automaton: [GitHub](https://github.com/appautomaton) · [Hugging Face](https://huggingface.co/appautomaton)
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## License
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NVIDIA Source Code License (non-commercial). These weights are a format
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conversion of [`nvidia/RE-USE`](https://huggingface.co/nvidia/RE-USE) and remain
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governed by NVIDIA's license terms; by downloading or using them you agree to
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those terms. They may not be used commercially. Set `denoise_ref=False` (the
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default) to run DramaBox voice cloning without this model. The mlx-speech
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runtime code is MIT.
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