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Up-Cycle-Senet: Unpaired Phase-Aware Speech Enhancement Using Deep Complex Cycle Adversarial Networks

https://doi.org/10.2139/ssrn.4765630
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Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
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Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747180openalex-extracted
MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747267openalex-extracted
Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-extracted
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
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Least Squares Generative Adversarial Networks
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An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
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On Training Targets for Supervised Speech Separation
inferredcites →https://doi.org/10.1109/taslp.2015.2512042openalex-extracted
Complex Ratio Masking for Monaural Speech Separation
inferredcites →https://doi.org/10.1109/taslp.2018.2842159openalex-extracted
Supervised Speech Separation Based on Deep Learning: An Overview
inferredcites →https://doi.org/10.1109/taslp.2021.3079813openalex-extracted
Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement
inferredcites →https://doi.org/10.1109/tassp.1982.1163920openalex-extracted
The unimportance of phase in speech enhancement
inferredcites →https://doi.org/10.1121/1.4799597openalex-extracted
The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings
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PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
inferredcites →https://doi.org/10.21437/interspeech.2017-1428openalex-extracted
SEGAN: Speech Enhancement Generative Adversarial Network
inferredcites →https://doi.org/10.21437/interspeech.2019-1924openalex-extracted
Speech Denoising with Deep Feature Losses
inferredcites →https://doi.org/10.21437/interspeech.2020-1169openalex-extracted
On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems
inferredcites →https://doi.org/10.21437/interspeech.2020-2143openalex-extracted
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
inferredcites →https://doi.org/10.21437/interspeech.2020-2409openalex-extracted
Real Time Speech Enhancement in the Waveform Domain
inferredcites →https://doi.org/10.21437/interspeech.2020-2537openalex-extracted
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
inferredcites →https://doi.org/10.21437/interspeech.2020-2631openalex-extracted
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression
inferredcites →https://doi.org/10.21437/interspeech.2021-582openalex-extracted
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement
inferredcites →https://doi.org/10.48550/arxiv.1602.07868openalex-extracted
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1704.00028openalex-extracted
Improved Training of Wasserstein GANs
inferredcites →https://doi.org/10.48550/arxiv.1706.05587openalex-extracted
Rethinking Atrous Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1802.08435openalex-extracted
Efficient Neural Audio Synthesis
inferredcites →https://doi.org/10.48550/arxiv.1807.00734openalex-extracted
The relativistic discriminator: a key element missing from standard GAN
inferredcites →https://doi.org/10.48550/arxiv.1903.03107openalex-extracted
Phase-aware Speech Enhancement with Deep Complex U-Net
inferredcites →https://doi.org/10.48550/arxiv.1905.06286openalex-extracted
End-to-End Multi-Channel Speech Separation
inferredcites →https://doi.org/10.48550/arxiv.1910.06711openalex-extracted
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
inferredcites →https://doi.org/10.48550/arxiv.1911.04697openalex-extracted
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
inferredcites →https://doi.org/10.48550/arxiv.2001.08662openalex-extracted
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework
inferredcites →https://doi.org/10.48550/arxiv.2001.10601openalex-extracted
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement
inferredcites →https://doi.org/10.48550/arxiv.2005.11611openalex-extracted
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.2010.15174openalex-extracted
Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement
inferredcites →https://doi.org/10.48550/arxiv.2102.01993openalex-extracted
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
inferredcites →https://doi.org/10.48550/arxiv.2104.03538openalex-extracted
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
inferredcites →https://doi.org/10.48550/arxiv.2107.13143openalex-extracted
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism
inferredcites →https://doi.org/10.48550/arxiv.2110.05866openalex-extracted
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
inferredcites →https://doi.org/10.48550/arxiv.2204.02844openalex-extracted
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
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