Cnam-LMSSC
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EBEN_soft_in_ear_microphone

Inference Endpoints

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jhauret commited on 15 days ago

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@@ -69,5 +69,5 @@ audio_48kHz = torch.Tensor(next(iter(test_dataset))["audio.soft_in_ear_microphon
 audio_16kHz = torchaudio.functional.resample(audio_48kHz, orig_freq=48_000, new_freq=16_000)
 cut_audio_16kHz = model.cut_to_valid_length(audio_16kHz[None, None, :])
-enhanced_audio_16kHz = model(cut_audio_16kHz)
 ```

 audio_16kHz = torchaudio.functional.resample(audio_48kHz, orig_freq=48_000, new_freq=16_000)
 cut_audio_16kHz = model.cut_to_valid_length(audio_16kHz[None, None, :])
+enhanced_audio_16kHz, enhanced_speech_decomposed = model(cut_audio_16kHz)
 ```