Iteratively remixing and re-separating the input mixture, with the best blend chosen by a quality metric, improves pretrained one-step audio separation models without any retraining.
Music source separation based on a lightweight deep learning framework (dttnet: Dual-path tfc-tdf unet)
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Training-Free Multi-Step Audio Source Separation
Iteratively remixing and re-separating the input mixture, with the best blend chosen by a quality metric, improves pretrained one-step audio separation models without any retraining.