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Meta-learning with Latent Space Clustering in Generative Adversarial
  Network for Speaker Diarization

Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization

IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
19 July 2020
Monisankha Pal
Manoj Kumar
Raghuveer Peri
Tae Jin Park
So Hyun Kim
C. Lord
Somer Bishop
Shrikanth Narayanan
ArXiv (abs)PDFHTML

Papers citing "Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization"

8 / 8 papers shown
Speaker Embeddings With Weakly Supervised Voice Activity Detection For
  Efficient Speaker Diarization
Speaker Embeddings With Weakly Supervised Voice Activity Detection For Efficient Speaker DiarizationThe Speaker and Language Recognition Workshop (Odyssey), 2024
Jenthe Thienpondt
Kris Demuynck
285
3
0
15 May 2024
Speaker Diarization Based on Multi-channel Microphone Array in
  Small-scale Meeting
Speaker Diarization Based on Multi-channel Microphone Array in Small-scale Meeting
Yu Du
R. Zhou
144
1
0
26 Oct 2022
TitaNet: Neural Model for speaker representation with 1D Depth-wise
  separable convolutions and global context
TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global contextIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Nithin Rao Koluguri
Taejin Park
Boris Ginsburg
ViT
326
156
0
08 Oct 2021
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli
Titouan Parcollet
Peter William VanHarn Plantinga
Aku Rouhe
Samuele Cornell
...
William Aris
Hwidong Na
Yan Gao
R. Mori
Yoshua Bengio
413
941
0
08 Jun 2021
Content-Aware Speaker Embeddings for Speaker Diarisation
Content-Aware Speaker Embeddings for Speaker DiarisationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
G. Sun
D. Liu
Chuxu Zhang
P. Woodland
175
4
0
12 Feb 2021
U-vectors: Generating clusterable speaker embedding from unlabeled data
U-vectors: Generating clusterable speaker embedding from unlabeled dataApplied Sciences (AS), 2021
M. F. Mridha
Abu Quwsar Ohi
M. Monowar
Md. Abdul Hamid
Md. Rashedul Islam
Yutaka Watanobe
SSL
175
6
0
07 Feb 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 tasksComputer Speech and Language (CSL), 2020
Federico Landini
Jan Profant
Mireia Díez
L. Burget
521
250
0
29 Dec 2020
Combination of Deep Speaker Embeddings for Diarisation
Combination of Deep Speaker Embeddings for Diarisation
Guangzhi Sun
Chao Zhang
P. Woodland
320
21
0
22 Oct 2020
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