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Add metrics

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@@ -66,4 +66,32 @@ We where using two RTX-3090 video cards for training, and it took about one mont
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  * mel_loss_coeff: 45
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  * mrd_loss_coeff: 1.0
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  * batch_size: 20
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- * num_samples: 32768
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  * mel_loss_coeff: 45
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  * mrd_loss_coeff: 1.0
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  * batch_size: 20
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+ * num_samples: 32768
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+
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+ ## Evaluation
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+
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+
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+ Evaluation was done using the metrics on the original repo, after 210 epochs we achieve:
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+
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+ * val_loss: 3.703
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+ * f1_score: 0.950
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+ * mel_loss: 0.248
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+ * periodicity_loss:0.127
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+ * pesq_score: 3.399
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+ * pitch_loss: 38.26
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+ * utmos_score: 3.146
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+ ## Citation
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+ If this code contributes to your research, please cite the work:
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+ ```
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+ @article{siuzdak2023vocos,
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+ title={Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis},
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+ author={Siuzdak, Hubert},
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+ journal={arXiv preprint arXiv:2306.00814},
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+ year={2023}
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+ }
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+ ```