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Integrating end-to-end neural and clustering-based diarization: Getting
  the best of both worlds

Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds

26 October 2020
K. Kinoshita
Marc Delcroix
Naohiro Tawara
ArXivPDFHTML

Papers citing "Integrating end-to-end neural and clustering-based diarization: Getting the best of both worlds"

5 / 5 papers shown
Title
USED: Universal Speaker Extraction and Diarization
USED: Universal Speaker Extraction and Diarization
Junyi Ao
Mehmet Sinan Yildirim
Ruijie Tao
Mengyao Ge
Shuai Wang
Yan-min Qian
Haizhou Li
64
6
0
17 Jan 2025
Guided Speaker Embedding
Guided Speaker Embedding
Shota Horiguchi
Takafumi Moriya
Atsushi Ando
Takanori Ashihara
Hiroshi Sato
Naohiro Tawara
Marc Delcroix
71
0
0
03 Jan 2025
End-to-End Speaker Diarization for an Unknown Number of Speakers with
  Encoder-Decoder Based Attractors
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
Shota Horiguchi
Yusuke Fujita
Shinji Watanabe
Yawen Xue
Kenji Nagamatsu
116
189
0
20 May 2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour
David Grangier
VLM
73
263
0
20 Feb 2020
End-to-End Neural Speaker Diarization with Self-attention
End-to-End Neural Speaker Diarization with Self-attention
Yusuke Fujita
Naoyuki Kanda
Shota Horiguchi
Yawen Xue
Kenji Nagamatsu
Shinji Watanabe
210
238
0
13 Sep 2019
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