DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation

Research article (ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022) · cited 25× · AI/ML
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DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation

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DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation. Retrieved May 24, 2026, from https://4ort.xyz/entity/drc-net-densely-connected-recurrent-convolutional-neural-network-for-speech-dereverberation
MLA “DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/drc-net-densely-connected-recurrent-convolutional-neural-network-for-speech-dereverberation.
BibTeX @misc{4ortxyz_drc-net-densely-connected-recurrent-convolutional-neural-network-for-speech-dereverberation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation}}, year = {2026}, url = {https://4ort.xyz/entity/drc-net-densely-connected-recurrent-convolutional-neural-network-for-speech-dereverberation}, note = {Accessed: 2026-05-24}}
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