Lukas Burget

SPATIALLY AWARE SELF-SUPERVISED MODELS FOR MULTI-CHANNEL NEURAL SPEAKER DIARIZATION

Self-supervised models such as WavLM have demonstrated strong performance for neural speaker diarization. However, these models are typically pre-trained on single-channel recordings, limiting their effectiveness in multi-channel scenarios. Existing diarization systems built on these models often re…