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Source separation is still a relatively esoteric research field, so it would be nice to have materials for users who have no idea how to use source separation. We should implement this in two ways:
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Hi! I'd like to train model in order to get better separation. I read that I need something like musdb for this but musdb syntaxis needs for me: 5 .wav files for each track (mixture, drums, basses, ot…
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The WaveNet paper mentioned very briefly (without any details) the possibility of using it for audio source separation. Examples of this include: extract the vocal part out of a piece of music, extra…
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Hi, thanks for great effort about SpleeterMsvcExe :-) It's easy and fast :-) Can you add the **Demucs 3** algorithm to your project?
The Demucs 3 has **high quality** separation model B. Please check…
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Hello!
I've been using the WhisperX large-v2 model in English on a project to transcribe vocals taken from songs, which I derive using source separation with spleeter. If it matters, I've been runn…
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The real-time interpretation of underwater sounds can be improved by applying OSS machine learning and time-series techniques to streams of audio and, where available, the real-time output of other en…
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the training seems endless eventhough i set only 1 song.
i use 2stems config and i tried to remove 'drums_path','bass_path','other_path' from the .csv file then the trainging won't start. so i added …
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when I run the train command like 'spleeter train --verbose -p configs/musdb_config.json -d musdb18hq' ,and the musdb_config.json content like this :
`{
"train_csv": "configs/musdb_train.csv",
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Hello everyone.
I would like to address a question I've repeatedly seen published both in this forum and other ones as well. Given the amount of available modules which have now been integrated int…
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Hello,
is it possible to add the functionality of combining multiple models,
similar to UVR's Ensemble Mode? And can we specify the way of combination,
like choosing Min Spec, Max Spec, Average …