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Time-Contrastive Learning Based Deep Bottleneck Features for
  Text-Dependent Speaker Verification

Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification

11 May 2019
A. Sarkar
Zheng-Hua Tan
Hao Tang
Suwon Shon
James R. Glass
ArXivPDFHTML

Papers citing "Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification"

4 / 4 papers shown
Title
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR
  Data Classification
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification
Meng Wang
Feng Gao
Junyu Dong
Hengchao Li
Q. Du
SSL
42
68
0
09 Jan 2023
On Training Targets and Activation Functions for Deep Representation
  Learning in Text-Dependent Speaker Verification
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
A. Sarkar
Zheng-Hua Tan
16
2
0
17 Jan 2022
Deep Spoken Keyword Spotting: An Overview
Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo
Zheng-Hua Tan
John H. L. Hansen
Jesper Jensen
23
102
0
20 Nov 2021
End-to-End Training Approaches for Discriminative Segmental Models
End-to-End Training Approaches for Discriminative Segmental Models
Hao Tang
Weiran Wang
Kevin Gimpel
Karen Livescu
30
7
0
21 Oct 2016
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