The Spheres dataset provides multitrack orchestral recordings with isolated instrument stems and acoustic characterizations to support supervised machine learning for music source separation in the classical domain.
Sdr–half-baked or well done?
2 Pith papers cite this work. Polarity classification is still indexing.
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A cold diffusion model with direct and delta-normalized reverse processes, using UNet and transformer backbones, outperforms diffusion baselines for dereverberating acoustic and electronic drum stems on in-domain and out-of-domain tests.
citing papers explorer
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The Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval
The Spheres dataset provides multitrack orchestral recordings with isolated instrument stems and acoustic characterizations to support supervised machine learning for music source separation in the classical domain.
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A Cold Diffusion Approach for Percussive Dereverberation
A cold diffusion model with direct and delta-normalized reverse processes, using UNet and transformer backbones, outperforms diffusion baselines for dereverberating acoustic and electronic drum stems on in-domain and out-of-domain tests.