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Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds

26 October 2020

Papers citing "Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds"

2 / 52 papers shown

Title
A Review of Speaker Diarization: Recent Advances with Deep Learning Tae Jin Park Naoyuki Kanda Dimitrios Dimitriadis Kyu Jeong Han Shinji Watanabe Shrikanth Narayanan VLM 386 337 0 24 Jan 2021
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks Federico Landini Jan Profant Mireia Díez L. Burget 287 209 0 29 Dec 2020