Paper submitted to IEEE SLT 2026
We submitted a paper on speaker representation learning -- This work learns persistent speaker representations directly from overlapping speech mixtures, enabling speakers to be re-identified across long-form conversations without enrollment audio, diarization supervision, or explicit tracking training.
Jun 24, 2026