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<td>v2 with a smaller receptive field, adpated adversarial training, and noise generator, adapted for timbre transfer for stationary signals</td>
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<td>v2 with a smaller receptive field, adpated adversarial training, and noise generator, adapted for timbre transfer for stationary signals (minimum GPU memory : 8Go)</td>
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<td>v2_nopqmf</td>
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<td>(experimental) v2 without pqmf in generator (more efficient for bending purposes)</td>
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<td>(experimental) v2 without pqmf in generator (more efficient for bending purposes) (minimum GPU memory : 16Go)</td>
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<td>v3</td>
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<td>v2 with Snake activation, descript discriminator and Adaptive Instance Normalization for real style transfer</td>
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<td>v2 with Snake activation, descript discriminator and Adaptive Instance Normalization for real style transfer (minimum GPU memory : 32Go)</td>
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<td>discrete</td>
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<td>Discrete model (similar to SoundStream or EnCodec)</td>
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<td>Discrete model (similar to SoundStream or EnCodec) (minimum GPU memory : 18Go)</td>
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<td>onnx</td>
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<td>Noiseless v1 configuration for onnx usage</td>
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