A Review of Speaker Diarization: Recent Advances with Deep Learning

A Review of Speaker Diarization: Recent Advances with Deep Learning

24 January 2021

Dimitrios Dimitriadis

Shinji Watanabe

Shrikanth Narayanan

Papers citing "A Review of Speaker Diarization: Recent Advances with Deep Learning"

7 / 7 papers shown

Title
Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness Erfan Loweimi Mengjie Qian Kate Knill Mark J. F. Gales 33 62 0 26 Apr 2025
Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning Abdulhady Abas Abdullah S. H. Karim Sara Azad Ahmed Kanar R. Tariq Tarik Ahmed Rashid 29 40 0 23 Apr 2025
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 180 175 0 29 Dec 2020
Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system K. Kinoshita Marc Delcroix S. Araki Tomohiro Nakatani 159 27 0 09 Mar 2020
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap Tae Jin Park Kyu Jeong Han Manoj Kumar Shrikanth Narayanan 99 98 0 05 Mar 2020
End-to-End Neural Speaker Diarization with Self-attention Yusuke Fujita Naoyuki Kanda Shota Horiguchi Yawen Xue Kenji Nagamatsu Shinji Watanabe 151 212 0 13 Sep 2019
End-to-End Neural Speaker Diarization with Permutation-Free Objectives Yusuke Fujita Naoyuki Kanda Shota Horiguchi Kenji Nagamatsu Shinji Watanabe 121 222 0 12 Sep 2019