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v1v2 (latest)

Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement

6 November 2020
Aswin Sivaraman
Minje Kim
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement"

9 / 9 papers shown
Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech
  Denoising and Dereverberation
Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation
Yi Li
ShuangLin Li
Yang Sun
S. M. Naqvi
183
0
0
10 Jun 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A SurveyPatterns (Patterns), 2022
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
338
136
0
02 Mar 2022
Self-Supervised Learning based Monaural Speech Enhancement with
  Complex-Cycle-Consistent
Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent
Yi Li
Yang Sun
S. M. Naqvi
266
1
0
21 Dec 2021
Towards noise robust trigger-word detection with contrastive learning
  pre-task for fast on-boarding of new trigger-words
Towards noise robust trigger-word detection with contrastive learning pre-task for fast on-boarding of new trigger-words
S. Balasubramanian
Aditya Jajodia
Gowtham Srinivasan
CLIP
340
0
0
06 Nov 2021
Speech Enhancement Based on Cyclegan with Noise-informed Training
Speech Enhancement Based on Cyclegan with Noise-informed Training
Wen-Yuan Ting
Syu-Siang Wang
Hsin-Li Chang
B. Su
Yu Tsao
GAN
350
7
0
19 Oct 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching
  References
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha
Buye Xu
Anurag Kumar
334
63
0
16 Sep 2021
AMMUS : A Survey of Transformer-based Pretrained Models in Natural
  Language Processing
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
VLMLM&MA
399
320
0
12 Aug 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language ModelsJournal of Biomedical Informatics (JBI), 2021
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MAMedIm
452
198
0
16 Apr 2021
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile
  Application
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
Yu-Wen Chen
Kuo-Hsuan Hung
You-Jin Li
A. Kang
Ya-Hsin Lai
Kai-Chun Liu
Szu-Wei Fu
Syu-Siang Wang
Yu Tsao
315
8
0
21 Aug 2020
1
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