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Found 5 papers, 1 papers with code
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer
To improve the performance of traditional low-latency speech enhancement algorithms, a deep filter-bank equalizer (FBE) framework was proposed, which integrated a deep learning-based subband noise reduction network with a deep learning-based shortened digital filter mapping network.
A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation
In hands-free communication system, the coupling between loudspeaker and microphone generates echo signal, which can severely influence the quality of communication.
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection
In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy.
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance.
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization
In this study, we make full use of the contribution of multi-target joint learning to the model generalization capability, and propose a lightweight and low-computing dilated convolutional network (DCN) model for a more robust speech denoising task.
