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eess.AS2025
Spatially Aware Self-Supervised Models for Multi-Channel Neural Speaker Diarization
Jiangyu Han, Ruoyu Wang, Yoshiki Masuyama +4
Self-supervised models such as WavLM have demonstrated strong performance for neural speaker diarization. However, these models are typically pre-trained on single-channel recordin…
cs.SD2025
Exploring Speaker Diarization with Mixture of Experts
Gaobin Yang, Maokui He, Shutong Niu +3
In this paper, we propose a novel neural speaker diarization system using memory-aware multi-speaker embedding with sequence-to-sequence architecture (NSD-MS2S), which integrates a…
cs.SD2025
Latent Swap Joint Diffusion for 2D Long-Form Latent Generation
Yusheng Dai, Chenxi Wang, Chang Li +7
This paper introduces Swap Forward (SaFa), a modality-agnostic and efficient method to generate seamless and coherence long spectrum and panorama through latent swap joint diffusio…