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Found 4 papers, 1 papers with code
Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model
We show that our stochastic regeneration model outperforms other neural-network-based wind noise reduction methods as well as purely predictive and generative models, on a dataset using simulated and real-recorded wind noise.
A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devices
By deriving new metrics analyzing the dereverberation performance in various time ranges, we confirm that directly optimizing for a criterion at the output of the multi-channel linear filtering stage results in a more efficient dereverberation as compared to placing the criterion at the output of the DNN to optimize the PSD estimation.
Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments
In this paper, a neural network-augmented algorithm for noise-robust online dereverberation with a Kalman filtering variant of the weighted prediction error (WPE) method is proposed.
Customizable End-to-end Optimization of Online Neural Network-supported Dereverberation for Hearing Devices
This work focuses on online dereverberation for hearing devices using the weighted prediction error (WPE) algorithm.
