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README.md
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@@ -59,7 +59,7 @@ Detailed instructions for reproducing the experiments are available on the [jhau
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```python
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import torch, torchaudio
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from vibravox import EBENGenerator
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from datasets import load_dataset
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model = EBENGenerator.from_pretrained("Cnam-LMSSC/EBEN_forehead_accelerometer")
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audio_48kHz = torch.Tensor(next(iter(test_dataset))["audio.forehead_accelerometer"]["array"])
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audio_16kHz = torchaudio.functional.resample(audio_48kHz, orig_freq=48_000, new_freq=16_000)
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cut_audio_16kHz = model.cut_to_valid_length(audio_16kHz)
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enhanced_audio_16kHz = model(cut_audio_16kHz)
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```
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```python
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import torch, torchaudio
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from vibravox.torch_modules.dnn.eben_generator import EBENGenerator
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from datasets import load_dataset
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model = EBENGenerator.from_pretrained("Cnam-LMSSC/EBEN_forehead_accelerometer")
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audio_48kHz = torch.Tensor(next(iter(test_dataset))["audio.forehead_accelerometer"]["array"])
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audio_16kHz = torchaudio.functional.resample(audio_48kHz, orig_freq=48_000, new_freq=16_000)
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cut_audio_16kHz = model.cut_to_valid_length(audio_16kHz[None, None, :])
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enhanced_audio_16kHz = model(cut_audio_16kHz)
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```
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