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Feature Enhancement with Deep Feature Losses for Speaker Verification
v1v2 (latest)

Feature Enhancement with Deep Feature Losses for Speaker Verification

25 October 2019
Saurabh Kataria
P. S. Nidadavolu
Jesús Villalba
Nanxin Chen
Paola García
Najim Dehak
ArXiv (abs)PDFHTML

Papers citing "Feature Enhancement with Deep Feature Losses for Speaker Verification"

6 / 6 papers shown
Title
PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation
  Extraction
PL-EESR: Perceptual Loss Based END-TO-END Robust Speaker Representation Extraction
Yi Ma
Kong Aik Lee
Ville Hautamaki
Haizhou Li
140
9
0
03 Oct 2021
Expressive TTS Training with Frame and Style Reconstruction Loss
Expressive TTS Training with Frame and Style Reconstruction Loss
Rui Liu
Berrak Sisman
Guanglai Gao
Haizhou Li
112
73
0
04 Aug 2020
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6
  Challenge
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge
Ashish Arora
Desh Raj
Aswin Shanmugam Subramanian
Ke Li
Bar Ben Yair
Matthew Maciejewski
Piotr Żelasko
Leibny Paola García-Perera
Shinji Watanabe
Sanjeev Khudanpur
147
9
0
14 Jun 2020
Single Channel Far Field Feature Enhancement For Speaker Verification In
  The Wild
Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild
P. S. Nidadavolu
Saurabh Kataria
Leibny Paola García-Perera
Jesús Villalba
Najim Dehak
28
3
0
17 May 2020
Analysis of Deep Feature Loss based Enhancement for Speaker Verification
Analysis of Deep Feature Loss based Enhancement for Speaker Verification
Saurabh Kataria
P. S. Nidadavolu
Jesús Villalba
Najim Dehak
103
13
0
01 Feb 2020
Speaker detection in the wild: Lessons learned from JSALT 2019
Speaker detection in the wild: Lessons learned from JSALT 2019
Leibny Paola García-Perera
Jesus Villalba
H. Bredin
Jun Du
Diego Castán
...
Wassim Bouaziz
Hadrien Titeux
Emmanuel Dupoux
Kong Aik Lee
Najim Dehak
46
30
0
02 Dec 2019
1