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Within-sample variability-invariant loss for robust speaker recognition
  under noisy environments

Within-sample variability-invariant loss for robust speaker recognition under noisy environments

3 February 2020
Danwei Cai
Weicheng Cai
Ming Li
ArXivPDFHTML

Papers citing "Within-sample variability-invariant loss for robust speaker recognition under noisy environments"

5 / 5 papers shown
Title
End-to-end Online Speaker Diarization with Target Speaker Tracking
End-to-end Online Speaker Diarization with Target Speaker Tracking
Weiqing Wang
Ming Li
39
5
0
12 Oct 2023
A Novel Temporal Attentive-Pooling based Convolutional Recurrent
  Architecture for Acoustic Signal Enhancement
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement
Tassadaq Hussain
Wei-Chien Wang
M. Gogate
K. Dashtipour
Yu Tsao
Xugang Lu
A. Ahsan
Amir Hussain
21
3
0
24 Jan 2022
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for
  Robust Speaker Representation Learning
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning
Mufan Sang
Wei Xia
John H. L. Hansen
OOD
DRL
19
23
0
12 Dec 2020
Acoustic Word Embedding System for Code-Switching Query-by-example
  Spoken Term Detection
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection
Murong Ma
Haiwei Wu
Xuyang Wang
Lin Yang
Junjie Wang
Ming Li
13
7
0
24 May 2020
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge
Xiaoyi Qin
Ming Li
Hui Bu
Wei Rao
Rohan Kumar Das
Shrikanth Narayanan
Haizhou Li
42
47
0
16 May 2020
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