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Do End-to-End Neural Diarization Attractors Need to Encode Speaker
  Characteristic Information?

Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?

29 February 2024
Lin Zhang
Themos Stafylakis
Federico Landini
Mireia Díez
Anna Silnova
Lukávs Burget
ArXivPDFHTML

Papers citing "Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?"

3 / 3 papers shown
Title
Neural Diarization with Non-autoregressive Intermediate Attractors
Neural Diarization with Non-autoregressive Intermediate Attractors
Yusuke Fujita
Tatsuya Komatsu
Robin Scheibler
Yusuke Kida
Tetsuji Ogawa
28
11
0
13 Mar 2023
A Review of Speaker Diarization: Recent Advances with Deep Learning
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 Permutation-Free Objectives
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
1