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DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors

DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors

7 December 2023
Federico Landini
Mireia Díez
Themos Stafylakis
Lukávs Burget
ArXivPDFHTML

Papers citing "DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors"

12 / 12 papers shown
Title
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?
Lin Zhang
Themos Stafylakis
Federico Landini
Mireia Díez
Anna Silnova
Lukávs Burget
14
1
0
29 Feb 2024
Powerset multi-class cross entropy loss for neural speaker diarization
Powerset multi-class cross entropy loss for neural speaker diarization
Alexis Plaquet
H. Bredin
90
91
0
19 Oct 2023
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx)
  for Combined End-to-End and Vector Clustering-based Diarization
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization
Marc Delcroix
Naohiro Tawara
Mireia Díez
Federico Landini
Anna Silnova
A. Ogawa
Tomohiro Nakatani
L. Burget
S. Araki
19
4
0
23 May 2023
Neural Diarization with Non-autoregressive Intermediate Attractors
Neural Diarization with Non-autoregressive Intermediate Attractors
Yusuke Fujita
Tatsuya Komatsu
Robin Scheibler
Yusuke Kida
Tetsuji Ogawa
20
11
0
13 Mar 2023
Mutual Learning of Single- and Multi-Channel End-to-End Neural
  Diarization
Mutual Learning of Single- and Multi-Channel End-to-End Neural Diarization
Shota Horiguchi
Yuki Takashima
Shinji Watanabe
Leibny Paola García-Perera
20
2
0
07 Oct 2022
Auxiliary Loss of Transformer with Residual Connection for End-to-End
  Speaker Diarization
Auxiliary Loss of Transformer with Residual Connection for End-to-End Speaker Diarization
Yechan Yu
Dongkeon Park
H. Kim
21
19
0
14 Oct 2021
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
Bayesian HMM clustering of x-vector sequences (VBx) in speaker
  diarization: theory, implementation and analysis on standard tasks
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
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized
  Maximum Eigengap
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
pyannote.audio: neural building blocks for speaker diarization
pyannote.audio: neural building blocks for speaker diarization
H. Bredin
Ruiqing Yin
Juan Manuel Coria
G. Gelly
Pavel Korshunov
Marvin Lavechin
D. Fustes
Hadrien Titeux
Wassim Bouaziz
Marie-Philippe Gill
172
307
0
04 Nov 2019
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
163
237
0
13 Sep 2019
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
148
242
0
12 Sep 2019
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