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An open source dataset for source separation

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how can i create just 10 hours mix from train-clean-100.tar.gz (instead of 100 h)

I run create_librimix_metadata.py to generate the file. But there are some differences between yours and mine. I don't know why. I run this script on windows10. this is mine of...

Earlier this year I used your code to create LibriMix datasets for 5, 10, 15 and 20 speakers. In the process I found out that running the scripts for **many...

It seems to me even when I only need "mix_clean", the data preparation code is still highly entangled with noise https://github.com/JorisCos/LibriMix/blob/60199d7dfcf3fc868e6647ae3c0451a257a7bb0e/scripts/create_librimix_from_metadata.py#L158-L169 Hence, it might make more sense to always create...

There may be such an issue in the script. When I just generate mix_clean, it will not generate a noise subdir. But it still needs to weite_noise() in the noise...

Hello! This data preparation package has been really helpful! One issue I found is that soundfile.write() does not write the correct audio instance when the same file name is used...

Error opening 'storage_dir/wham_noise/tt/445c0204_1.7413_442c020t_-1.7413.wav': System error. How to solve this problem?

$ sh generate_librimix.sh 0%| | 0/20000 [00:00

I used the default parameters to synthesize the mixed speech of two people, but found that there are 5 folders, namely mix_clean (utterances only), mix_both (utterances + noise), mix_single (1...