Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification

28 December 2023

Papers citing "Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification"

3 / 3 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 274 327 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 216 199 0 29 Dec 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015