Permutation-equivariant training via matched random channel shuffling improves SDR and reduces microphone bleed in multi-channel music source separation under unseen conditions.
Permutation invariant training of deep models for speaker-independent multi-talker speech separation,
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Learning Input-Channel Permutation Equivariance for Multi-Channel Source Separation: Reducing Bleeding in Small Music Ensembles
Permutation-equivariant training via matched random channel shuffling improves SDR and reduces microphone bleed in multi-channel music source separation under unseen conditions.