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Contrastive-mixup learning for improved speaker verification

Contrastive-mixup learning for improved speaker verification

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
22 February 2022
Xin Zhang
Minho Jin
R. Cheng
Ruirui Li
Eunjung Han
A. Stolcke
    AAMLSSL
ArXiv (abs)PDFHTML

Papers citing "Contrastive-mixup learning for improved speaker verification"

5 / 5 papers shown
Title
Mixup Regularization: A Probabilistic Perspective
Mixup Regularization: A Probabilistic PerspectiveConference on Uncertainty in Artificial Intelligence (UAI), 2025
Yousef El-Laham
Niccolò Dalmasso
Svitlana Vyetrenko
Vamsi K. Potluru
Manuela Veloso
376
0
0
19 Feb 2025
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech
  Recognition using Agnostic Contrastive Mixup
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive MixupIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Carlos Carvalho
A. Abad
192
1
0
18 Oct 2024
Self-Distillation Prototypes Network: Learning Robust Speaker
  Representations without Supervision
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision
Yafeng Chen
Siqi Zheng
Hui Wang
Luyao Cheng
Qian Chen
Shiliang Zhang
Wen Wang
SSL
136
6
0
17 Jun 2024
Learning Emotional Representations from Imbalanced Speech Data for
  Speech Emotion Recognition and Emotional Text-to-Speech
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-SpeechInterspeech (Interspeech), 2023
Shijun Wang
Jón Guðnason
Damian Borth
160
5
0
09 Jun 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
304
50
0
21 Dec 2022
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