Speakers Unembedded: Embedding-free Approach to Long-form Neural Diarization
๐๏ธโ๐จ๏ธ 1. Introudction
๐ผ 2. Proposed Method
2.2 Global EEND
2.3 Embedding-free Clustering
๐ 3. Experimental Setup
3.1. ๐ Data and Metrics
3.2. ๐ ๏ธ EEND Model Settings (EEND-VC์ ๊ฐ์)
3.3 ๐ Sequence Concatenation during Adaptation
3.4. ๐ Efficiency Improvement for Inference
๐งช 4. Experiments
4.1. Effect of Sequence Concatenation
๐งช Experiment Overview