Speech Dereverberation
16 papers with code • 4 benchmarks • 5 datasets
Removing reverberation from audio signals
Latest papers with no code
USDnet: Unsupervised Speech Dereverberation via Neural Forward Filtering
We show that this novel methodology can promote unsupervised dereverberation of single-source reverberant speech.
Distributed Speech Dereverberation Using Weighted Prediction Error
However, in scenarios where microphone nodes are dispersed, the centralized approach of the WPE method requires aggregating all observations for inverse filtering, resulting in a significant computational burden.
AV-RIR: Audio-Visual Room Impulse Response Estimation
We propose AV-RIR, a novel multi-modal multi-task learning approach to accurately estimate the RIR from a given reverberant speech signal and the visual cues of its corresponding environment.
Speech enhancement with frequency domain auto-regressive modeling
The dereverberated envelope-carrier signals are modulated and the sub-band signals are synthesized to reconstruct the audio signal back.
Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition
Accurate recognition of cocktail party speech containing overlapping speakers, noise and reverberation remains a highly challenging task to date.
A Composite T60 Regression and Classification Approach for Speech Dereverberation
More specifically, we develop a joint learning approach that uses a composite T60 module and a separate dereverberation module to simultaneously perform reverberation time estimation and dereverberation.
Dereverberation in Acoustic Sensor Networks Using Weighted Prediction Error With Microphone-dependent Prediction Delays
In the WPE algorithm, a prediction delay is required to reduce the correlation between the prediction signals and the direct component in the reference microphone signal.
Synthetic Wave-Geometric Impulse Responses for Improved Speech Dereverberation
We present a novel approach to improve the performance of learning-based speech dereverberation using accurate synthetic datasets.
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation
Several speech processing systems have demonstrated considerable performance improvements when deep complex neural networks (DCNN) are coupled with self-attention (SA) networks.
SkipConvGAN: Monaural Speech Dereverberation using Generative Adversarial Networks via Complex Time-Frequency Masking
With the advancements in deep learning approaches, the performance of speech enhancing systems in the presence of background noise have shown significant improvements.