Mixture to Mixture: Leveraging Close-Talk Mixtures as Weak-Supervision for Speech Separation
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DOI: 10.1109/lsp.2024.3417284
Abstract: We propose mixture to mixture (M2M) training, a weakly-supervised neural speech separation algorithm that leverages close-talk mixtures as a weak supervision for training discriminative models to separate far-field mixtures. Our idea is that, for a… read more here.
Keywords: close talk; weak supervision; separation; mixture ... See more keywords