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Speaker attribution with voice profiles by graph-based semi-supervised
  learning

Speaker attribution with voice profiles by graph-based semi-supervised learning

6 February 2021
Jixuan Wang
Xiong Xiao
Jian Wu
Ranjani Ramamurthy
Frank Rudzicz
M. Brudno
ArXiv (abs)PDFHTML

Papers citing "Speaker attribution with voice profiles by graph-based semi-supervised learning"

15 / 15 papers shown
Title
Speaker diarization with session-level speaker embedding refinement
  using graph neural networks
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Jixuan Wang
Xiong Xiao
Jian Wu
Ranjani Ramamurthy
Frank Rudzicz
M. Brudno
55
26
0
22 May 2020
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
237
4,364
0
06 Mar 2019
Centroid-based deep metric learning for speaker recognition
Centroid-based deep metric learning for speaker recognition
Jixuan Wang
Kuan-Chieh Wang
M. Law
Frank Rudzicz
M. Brudno
SSL
55
103
0
06 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
783
8,566
0
03 Jan 2019
Fully Supervised Speaker Diarization
Fully Supervised Speaker Diarization
Aonan Zhang
Quan Wang
Zhenyao Zhu
John Paisley
Chong-Jun Wang
BDL
84
218
0
10 Oct 2018
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
356
2,287
0
14 Jun 2018
Speaker Diarization with LSTM
Speaker Diarization with LSTM
Quan Wang
Carlton Downey
Li Wan
Philip Mansfield
Ignacio López Moreno
77
319
0
28 Oct 2017
Generalized End-to-End Loss for Speaker Verification
Generalized End-to-End Loss for Speaker Verification
Li Wan
Quan Wang
Alan Papir
Ignacio López Moreno
VLM
68
933
0
28 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
105
1,794
0
22 Sep 2017
Deep Speaker: an End-to-End Neural Speaker Embedding System
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li
Xiaokong Ma
B. Jiang
Xiangang Li
Xuewei Zhang
Xiao-Chang Liu
Ying Cao
Ajay Kannan
Zhenyao Zhu
53
493
0
05 May 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,488
0
04 Apr 2017
TristouNet: Triplet Loss for Speaker Turn Embedding
TristouNet: Triplet Loss for Speaker Turn Embedding
H. Bredin
68
182
0
14 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
662
29,156
0
09 Sep 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
305
5,534
0
23 Nov 2015
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,543
0
01 Nov 2007
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