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Jun 8, 2023 · In this paper, we propose a two-stage autoencoder neural network for 3D speech enhancement. We incorporate a dual-path recurrent neural network ...
In this paper, we propose a two-stage autoencoder neural network for 3D speech enhancement. We incorporate a dual-path recurrent neural network block into the ...
Abstract—3D speech enhancement can effectively improve the auditory experience and plays a crucial role in augmented reality technology.
In this paper, we incorporate a dual-path recurrent neural network block into the U-Net to iteratively extract dynamic audio information in both the time and ...
In this work, we propose a deep convolutional denoising autoencoder-based speech enhancement network that is designed to have an encoder deeper than the decoder ...
In this paper, we propose a two-stage autoencoder neural network for 3D speech enhancement. We incorporate a dual-path rec... Cite · Download full-text ...
This work proposed a neural network-based speech enhancement (SE) method called the phase-aware recurrent two stage network (rTSN) that adopted the long ...
In this work, we propose a novel two-stage refiner system that integrates a neural beamforming network and a diffusion model for robust 3D speech enhancement.
Missing: Autoencoder | Show results with:Autoencoder
Nov 16, 2022 · To obtain a higher quality enhanced speech, we propose a two-stage DRL-based SE method through adversarial training.
Missing: 3D | Show results with:3D
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A new neural beamforming network is proposed for B-format 3D multi-channel speech enhancement and recognition and has ranked the 1st place of the 3D Speech ...