Joint Learning with Shared Latent Space for Self-Supervised Monaural Speech Enhancement
Author:
Affiliation:
1. Newcastle University,Intelligent Sensing and Communications Research Group,UK
2. University of Oxford,Big Data Institute,UK
3. University of Surrey,Centre for Vision Speech and Signal Processing,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256664/10256714/10257034.pdf?arnumber=10257034
Reference20 articles.
1. Assessment for automatic speech recognition: Ii. noisex-92: a database and an experiment to study the effect of additive noise on speech recognition systems;varga;IEEE Transactions on Audio Speech and Language Processing,1993
2. Can we Automatically Transform Speech Recorded on Common Consumer Devices in Real-World Environments into Professional Production Quality Speech?—A Dataset, Insights, and Challenges
3. Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement
4. U-Shaped Transformer With Frequency-Band Aware Attention for Speech Enhancement
5. Stabilizing Label Assignment for Speech Separation by Self-Supervised Pre-Training
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