Text-to-Speech
PyTorch
ONNX
Catalan
matcha-tts
acoustic modelling
speech
multispeaker
AlexK-PL commited on
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Update README.md

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@@ -129,12 +129,18 @@ The embedding layer was initialized with the number of catalan speakers (47) and
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  * f_min: 0
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  * f_max: 8000
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  * data_statistics:
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- ** mel_mean: -6.578195
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- ** mel_std: 2.538758
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  * number of samples: 13340
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  ## Evaluation
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  ## Citation
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  * f_min: 0
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  * f_max: 8000
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  * data_statistics:
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+ * mel_mean: -6578195
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+ * mel_std: 2.538758
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  * number of samples: 13340
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  ## Evaluation
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+ Validation values obtained from tensorboard from epoch 2399:
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+ (Note that the finetuning started from epoch 1864, as previous ones were trained with VCTK dataset)
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+
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+ * val_dur_loss_epoch: 0.38
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+ * val_prior_loss_epoch: 0.97
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+ * val_diff_loss_epoch: 2.195
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  ## Citation
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