Recent researches show that convolutional neural networks (CNN) can effectively enhance speech signal by mod-eling its long-term dependence in time-domain.
Abstract—Recent researches show that convolutional neural networks (CNN) can effectively enhance speech signal by mod- eling its long-term dependence in ...
A plug-and-play bottleneck module named group multi-scale (GMS) module to alleviate the receptive field craving of convolutional neural networks.
GROUP MULTI-SCALE CONVOLUTIONAL NETWORK FOR MONAURAL SPEECH ENHANCEMENT IN TIME-DOMAIN · 1: A TARGET SPEAKER SEPARATION NEURAL NETWORK WITH JOINT-TRAINING · 2: ...
We reproduce several DNN-based monaural speech enhancement methods and outline a strategy for constructing datasets. This strategy, validated through ...
Apr 11, 2024 · We propose a causal speech enhancement system named Supervised Attention Multi-Scale Temporal Convolutional Network (SA-MSTCN).
Missing: Group | Show results with:Group
We propose a new convolutional fusion network (CFN) for monaural speech enhancement by improving model performance, inter-channel dependency, information reuse ...
Jul 2, 2024 · Speech enhancement in the time domain involves improving the quality and intelligibility of noisy speech by processing the waveform directly ...
Missing: Group | Show results with:Group
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Jun 19, 2023 · In this study, we reproduce many representative DNN-based monaural speech enhancement methods and summarize a dataset-building strategy that can ...
Missing: Time- domain.
Jun 15, 2023 · Abstract—The Dual-Path Convolution Recurrent Network. (DPCRN) was proposed to effectively exploit time-frequency domain information.