AudioSeal
English
audio-watermarking
watermarking
speech
robustness
adversarial-training
diffusion
audioldm
latent-diffusion
psiml
Instructions to use msaidov/audioseal-robust-audioldm-16bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- AudioSeal
How to use msaidov/audioseal-robust-audioldm-16bits with AudioSeal:
# Watermark Generator from audioseal import AudioSeal model = AudioSeal.load_generator("msaidov/audioseal-robust-audioldm-16bits") # pass a tensor (tensor_wav) of shape (batch, channels, samples) and a sample rate wav, sr = tensor_wav, 16000 watermark = model.get_watermark(wav, sr) watermarked_audio = wav + watermark# Watermark Detector from audioseal import AudioSeal detector = AudioSeal.load_detector("msaidov/audioseal-robust-audioldm-16bits") result, message = detector.detect_watermark(watermarked_audio, sr) - Notebooks
- Google Colab
- Kaggle
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