Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization

24 April 2022

Papers citing "Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization"

6 / 6 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 269 323 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 208 198 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 183 29 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 122 114 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 172 237 0 13 Sep 2019
End-to-End Neural Speaker Diarization with Permutation-Free Objectives Yusuke Fujita Naoyuki Kanda Shota Horiguchi Kenji Nagamatsu Shinji Watanabe 151 242 0 12 Sep 2019