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i just trained a model on the LJSpeech_1_1 dataset, and when i manually synthesize a sentence that was also part of the test set during training, i get slightly different results:
The original test alignment:
The alignment when using synthesize.py:
The later sound example also sounds worse in my opinion.
What could be the mistake i made?
best regards,
Nick
The text was updated successfully, but these errors were encountered:
python3 synthesizer.py --load_path=logs/LJSpeech_1_1_2018-12-17_15-04-28 --text "noyes was seized without difficulty, as it was a part of the scheme that he should act as the dupe, and remain on the spot in london till all the money was obtained." --is_korean=False
Hello,
i just trained a model on the LJSpeech_1_1 dataset, and when i manually synthesize a sentence that was also part of the test set during training, i get slightly different results:
The original test alignment:
The alignment when using synthesize.py:
The later sound example also sounds worse in my opinion.
What could be the mistake i made?
best regards,
Nick
The text was updated successfully, but these errors were encountered: