Comments (3)
Hello, Dear author
You can import the Dataset module using “from dataset import Dataset” in train.py, it’s correct cause you don‘t need to run the dataset.py file anymore.
Thus, there is no required step of running the data.py file in the preparation alone.
you can ignore the open ("./config/LJSpeech/preprocess.yaml", "r") cause we did not use this dataset.
("./config/LJSpeech/preprocess.yaml", "r") Source:
https://github.com/ming024/FastSpeech2/blob/master/dataset.py
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Thank you for your kind response.
Unfortunately, due to my lack of understanding, my preparation for driving your code is very poor.
If you don't mind, can I ask you an additional question?
I tried to run the mentioned lip2wav once.
also,, My place is where Baidu is not accessible, so I accessed it with your Google Drive, but I can't access it because I can't set permissions. But first, I downloaded chem data.
Below are the questions.
- Is there a separate database for corporus in preprocess.yaml?
-1How do I get the corpus, do I just run the mfa?
2.Is raw_path where the original mp4 data(chem youtube video) should be?
-->preprocessed_path : "data/conggaoxiang/V2C/V2C_Code/example_Chem16_framelevel/chem"
-->Do I paste the folders created by sequentially performing 1_get_your_frames.py~ in the HPDubbing-how-to-get-face-and-lip into the preprocessed_path folder?
- Overall, it is difficult to have the required folder structure.
I'm really sorry to ask you this basic thing because it's my first time researching the field of speech, but...
I think it will be of great help if you answer.
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Related Issues (8)
- The dataset HOT 1
- About HOT 3
- 代码复现的一些问题 HOT 1
- 预训练模型 HOT 11
- Chem dataset的特征 HOT 3
- 关于代码的一些细节问题 HOT 1
- I am finding it difficult to perform data preprocessing on my custom video. HOT 4
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