20 citations · 23 across the 3 of their papers we have counts for
3 papers
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz +1
Complex-valued processing has brought deep learning-based speech enhancement and signal extraction to a new level. Typically, the process is based on a time-frequency (TF) mask whi…
InSE-NET: A Perceptually Coded Audio Quality Model based on CNN
Guanxin Jiang, Arijit Biswas, Christian Bergler +1
Automatic coded audio quality assessment is an important task whose progress is hampered by the scarcity of human annotations, poor generalization to unseen codecs, bitrates, conte…
Deep Iterative 2D/3D Registration
Srikrishna Jaganathan, Jian Wang, Anja Borsdorf +2
Deep Learning-based 2D/3D registration methods are highly robust but often lack the necessary registration accuracy for clinical application. A refinement step using the classical…