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Using custom data for model training and testing #611

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leandermaben opened this issue Apr 23, 2022 · 4 comments
Open

Using custom data for model training and testing #611

leandermaben opened this issue Apr 23, 2022 · 4 comments
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@leandermaben
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I need to train and evaluate the ConvTasNet model on speech enhancement for a custom dataset.
How should I go about formatting the data, and what changes need to be made in the run.sh file.

@leandermaben leandermaben added the question Further information is requested label Apr 23, 2022
@mpariente
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Hey, thanks for the issue !

Have you had a look at already implemented speech enhancement dataset, how do they look like ?

@leandermaben
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Hi, thanks for the response.
By dataset, I don't mean the dataset class. I mean I want to use my own data ( clean and noisy .wav files) for training instead of wham or any of the other ones.
I was hoping to do this directly using the ConvTasNet recipe by just changing the parameters in run.sh. Would this be possible?

@mpariente
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Not directly, not. Unless you create the json file that the WHAM dataset expects for your data, which is quite simple.

Otherwise, you need to create a dataset class for your own data, that's why I suggest you to look at how the datasets are implemented.

@leandermaben
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Sure, I will look into it.
Thank You.

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