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Found 5 papers, 3 papers with code
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos
Hyperspectral object tracking has recently emerged as a topic of great interest in the remote sensing community.
Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio
This DE measure was an extension of Perceptual Evaluation of Audio Quality, and required reference and test signals.
Deep Residual-Dense Lattice Network for Speech Enhancement
Motivated by this, we propose the residual-dense lattice network (RDL-Net), which is a new CNN for speech enhancement that employs both residual and dense aggregations without over-allocating parameters for feature re-usage.
Ranked #16 on
Speech Enhancement
on VoiceBank + DEMAND
Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network
Deep learning has achieved substantial improvement on single-channel speech enhancement tasks.
Deep learning for minimum mean-square error approaches to speech enhancement
MMSE approaches utilising the proposed a priori SNR estimator are able to achieve higher enhanced speech quality and intelligibility scores than recent masking- and mapping-based deep learning approaches.
