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!
Most implemented papers
Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation
jwr1995/wd-tcn
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It is shown that this weighted multi-dilation temporal convolutional network (WD-TCN) consistently outperforms the TCN across various model configurations and using the WD-TCN model is a more parameter efficient method to improve the performance of the model than increasing the number of convolutional blocks.
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
sp-uhh/sgmse
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IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023
This matches our forward process which moves from clean speech to noisy speech by including a drift term.
Speech Dereverberation with a Reverberation Time Shortening Target
Audio-WestlakeU/FullSubNet
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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.
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
sp-uhh/sgmse
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In this paper, we systematically compare the performance of generative diffusion models and discriminative approaches on different speech restoration tasks.
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement
In this study, we propose a dense frequency-time attentive network (DeFT-AN) for multichannel speech enhancement.
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
Compared to existing phase-aware speech enhancement methods, it further mitigates the compensation effect between the magnitude and phase by explicit phase estimation, elevating the perceptual quality of enhanced speech.
RVAE-EM: Generative speech dereverberation based on recurrent variational auto-encoder and convolutive transfer function
In this work, we propose a generative dereverberation method.
