DiariZen

DiariZen is a cutting-edge speaker diarization toolkit developed by BUT Speech@FIT, combining end-to-end neural diarization (EEND) based on WavLM and Conformer with VBx clustering for accurate and scalable “who spoke when” analysis. Built on the Pyannote framework, it offers modularity, reproducibility, and seamless integration into speech processing pipelines. Structured pruning ensures efficiency without sacrificing performance.