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  ---
 
 
 
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  tags:
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- - pytorch_model_hub_mixin
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- - model_hub_mixin
 
 
 
 
 
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  ---
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- This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- - Library: [More Information Needed]
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- - Docs: [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: apache-2.0
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  tags:
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+ - hearing loss
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+ - challenge
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+ - signal processing
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+ - source separation
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+ - audio
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+ - audio-to-audio
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+ - NonCausal
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  ---
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+ # Cadenza Challenge: CAD2-Task1
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+
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+ A NonCausal Viola/Others separation model for the CAD2-Task2 baseline system.
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+
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+ * Architecture: ConvTasNet (Kaituo XU) with multichannel support (Alexandre Defossez).
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+ * Parameters:
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+ * B: 256
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+ * C: 2
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+ * H: 512
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+ * L: 20
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+ * N: 256
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+ * P: 3
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+ * R: 3
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+ * X: 8
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+ * audio_channels: 2
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+ * causal: false
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+ * mask_nonlinear: relu
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+ * norm_type: gLN
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+ * training:
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+ * sample_rate: 44100
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+ * samples_per_track: 64
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+ * segment: 5.0
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+ * aggregate: 2
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+ * batch_size: 4
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+ * early_stop: true
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+ * epochs: 200
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+
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+
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+ ## Dataset
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+ The model was trained using EnsembleSet and CadenzaWoodwind datasets.
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+
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+ ## How to use
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+
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+ ```
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+ from tasnet import ConvTasNetStereo
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+
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+ model = ConvTasNetStereo.from_pretrained(
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+ "cadenzachallenge/ConvTasNet_Viola_NonCausal"
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+ ).cpu()
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+
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+ ```
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+
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+