A soft-minimum over speaker-label permutations during training, derived from a probabilistic model, improves SDR and SIR for two-talker speech separation on TIMIT and GRID.
The GRID is a multi-speaker, sentence corpus [32], which has been used in monaural speech separation and recogni- tion challenge [33]
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Probabilistic Permutation Invariant Training for Speech Separation
A soft-minimum over speaker-label permutations during training, derived from a probabilistic model, improves SDR and SIR for two-talker speech separation on TIMIT and GRID.