most citedPixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings

15 citations · 15 across the 1 of their papers we have counts for

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eess.AS2024★ 15 cited

PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings

Joonas Kalda, Clément Pagés, Ricard Marxer +2

A major drawback of supervised speech separation (SSep) systems is their reliance on synthetic data, leading to poor real-world generalization. Mixture invariant training (MixIT) w…