Transformer Attractors for Robust and Efficient End-to-End Neural Diarization

11 December 2023

Papers citing "Transformer Attractors for Robust and Efficient End-to-End Neural Diarization"

5 / 5 papers shown

Title
Neural Diarization with Non-autoregressive Intermediate Attractors Yusuke Fujita Tatsuya Komatsu Robin Scheibler Yusuke Kida Tetsuji Ogawa 28 11 0 13 Mar 2023
Auxiliary Loss of Transformer with Residual Connection for End-to-End Speaker Diarization Yechan Yu Dongkeon Park H. Kim 26 19 0 14 Oct 2021
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
End-to-End Neural Speaker Diarization with Self-attention Yusuke Fujita Naoyuki Kanda Shota Horiguchi Yawen Xue Kenji Nagamatsu Shinji Watanabe 176 237 0 13 Sep 2019
End-to-End Neural Speaker Diarization with Permutation-Free Objectives Yusuke Fujita Naoyuki Kanda Shota Horiguchi Kenji Nagamatsu Shinji Watanabe 155 242 0 12 Sep 2019