Speech Dereverberation
19 papers with code • 5 benchmarks • 6 datasets
Removing reverberation from audio signals
Most implemented papers
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes
We show that the acoustic metrics of the IRs predicted from our MESH2IR match the ground truth with less than 10% error.
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation
In this work deformable convolution is proposed as a solution to allow TCN models to have dynamic RFs that can adapt to various reverberation times for reverberant speech separation.
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
As diffusion models are generative approaches they may also produce vocalizing and breathing artifacts in adverse conditions.
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.
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition
First, we study the effectiveness of different dereverberation networks (the generator in GAN) and find that LSTM leads a significant improvement as compared with feed-forward DNN and CNN in our dataset.
Real-time Single-channel Dereverberation and Separation with Time-domainAudio Separation Network
We investigate the recently proposed Time-domain Audio Sep-aration Network (TasNet) in the task of real-time single-channel speech dereverberation.
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Real-world audio recordings are often degraded by factors such as noise, reverberation, and equalization distortion.
Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings
Knowing the geometrical and acoustical parameters of a room may benefit applications such as audio augmented reality, speech dereverberation or audio forensics.
Late reverberation suppression using U-nets
In real-world settings, speech signals are almost always affected by reverberation produced by the working environment; these corrupted signals need to be \emph{dereverberated} prior to performing, e. g., speech recognition, speech-to-text conversion, compression, or general audio enhancement.
Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker Verification
Developing a single-microphone speech denoising or dereverberation front-end for robust automatic speaker verification (ASV) in noisy far-field speaking scenarios is challenging.