Speech Dereverberation
17 papers with code • 4 benchmarks • 5 datasets
Removing reverberation from audio signals
Benchmarks
These leaderboards are used to track progress in Speech Dereverberation
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WHAM!
Latest papers with no code
Speech Dereverberation with A Reverberation Time Shortening Target
The proposed RTS target suppresses reverberation and meanwhile maintains the exponential decaying property of reverberation, which will ease the network training, and thus reduce signal distortion caused by the prediction error.
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.
CycleGAN-Based Unpaired Speech Dereverberation
Typically, neural network-based speech dereverberation models are trained on paired data, composed of a dry utterance and its corresponding reverberant utterance.
Independence-based Joint Dereverberation and Separation with Neural Source Model
We introduce a neural network in the framework of time-decorrelation iterative source steering, which is an extension of independent vector analysis to joint dereverberation and separation.
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition
The dereverberated envelopes are used for feature extraction in speech recognition.
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation
In this paper, we exploit the effective way to leverage contextual information to improve the speech dereverberation performance in real-world reverberant environments.
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend
Recently, the end-to-end approach has been successfully applied to multi-speaker speech separation and recognition in both single-channel and multichannel conditions.
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information
Experimental results from speech denoising, speech dereverberation, and impaired speech enhancement tasks confirmed that contextual BPC information improves SE performance.
Scene-Agnostic Multi-Microphone Speech Dereverberation
We use noisy and noiseless versions of a simulated reverberant dataset to test the proposed architecture.
BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks
The proposed method addresses involved tasks as a sequence to sequence mapping problem, which is general enough for a variety of front-end speech enhancement tasks.
