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cstr/audioseal-GGUF
audioseal-GGUF is a machine learning model from cstr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as mit.
GGUF conversion of AudioSeal (audiosealwm16bits generator + audiosealdetector16bits detector) for use as the optional neural audio-watermarking backend in CrispASR.
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.gguf93.3 MB · 100%
From the Hugging Face model README
GGUF conversion of AudioSeal
(audioseal_wm_16bits generator + audioseal_detector_16bits detector) for use
as the optional neural audio-watermarking backend in
CrispASR.
AudioSeal is a proactive, localized watermarking method for AI-generated speech: an imperceptible watermark is embedded at synthesis time and recovered by a fast detector, robust to common audio edits (re-encoding, compression, resampling).
| File | Contents | Size |
|---|---|---|
audioseal.gguf | Generator (73 tensors) + detector (40 tensors), F32 | ~89 MB |
Sample rate 16 kHz, 16-bit message payload.
# Opt in to the neural watermark (otherwise CrispASR uses its built-in
# zero-dependency spread-spectrum watermark):
crispasr --backend <tts-backend> -m auto --tts "..." \
--watermark-model auto # auto-downloads this GGUF
# Detect:
crispasr --detect-watermark out.wav --watermark-model auto
This GGUF is a format conversion of AudioSeal, released by Meta AI (FAIR) under the MIT License — both code and model weights. See the upstream repository for the original weights and paper:
Redistributed here under the MIT License with attribution to the original authors. No model weights were retrained or modified; only the container format was changed (PyTorch → GGUF).