Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement

6 November 2020

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

5 / 5 papers shown

Title
Audio Self-supervised Learning: A Survey Shuo Liu Adria Mallol-Ragolta Emilia Parada-Cabeleiro Kun Qian Xingshuo Jing Alexander Kathan Bin Hu Bjoern W. Schuller SSL 45 106 0 02 Mar 2022
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 35 0 0 06 Nov 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References Pranay Manocha Buye Xu Anurag Kumar 35 44 0 16 Sep 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 31 164 0 16 Apr 2021
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity Ethan Manilow Gordon Wichern Prem Seetharaman Jonathan Le Roux 57 123 0 18 Sep 2019