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Audio Enhancement and Synthesis using Generative Adversarial Networks: A Survey

https://doi.org/10.5120/ijca2019918334
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1109/access.2018.2872060openalex-snapshot
Wasserstein GAN and Waveform Loss-Based Acoustic Model Training for Multi-Speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder
inferredcites →https://doi.org/10.1109/asru.2017.8269003openalex-snapshot
Statistical parametric speech synthesis using generative adversarial networks under a multi-task learning framework
inferredcites →https://doi.org/10.1109/cvpr.2016.264openalex-snapshot
Visually Indicated Sounds
inferredcites →https://doi.org/10.1109/icassp.2017.7953090openalex-snapshot
Generative adversarial network-based postfilter for statistical parametric speech synthesis
inferredcites →https://doi.org/10.1109/icassp.2018.8462614openalex-snapshot
On Adversarial Training and Loss Functions for Speech Enhancement
inferredcites →https://doi.org/10.1109/jas.2017.7510583openalex-snapshot
Generative adversarial networks: introduction and outlook
inferredcites →https://doi.org/10.1109/msp.2017.2765202openalex-snapshot
Generative Adversarial Networks: An Overview
inferredcites →https://doi.org/10.1109/slt.2018.8639647openalex-snapshot
Rhythm-Flexible Voice Conversion Without Parallel Data Using Cycle-GAN Over Phoneme Posteriorgram Sequences
inferredcites →https://doi.org/10.21437/interspeech.2017-1428openalex-snapshot
SEGAN: Speech Enhancement Generative Adversarial Network
inferredcites →https://doi.org/10.21437/interspeech.2017-1620openalex-snapshot
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification
inferredcites →https://doi.org/10.4230/lipics.cp.2022.30openalex-snapshot
Combining Reinforcement Learning and Constraint Programming for Sequence-Generation Tasks with Hard Constraints
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1701.07875openalex-snapshot
Wasserstein GAN
inferredcites →https://doi.org/10.48550/arxiv.1707.05776openalex-snapshot
Optimizing the Latent Space of Generative Networks
inferredcites →https://doi.org/10.48550/arxiv.1710.10196openalex-snapshot
Progressive Growing of GANs for Improved Quality, Stability, and Variation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4128913openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-032-14772-1_27openalex-snapshot
From Vision to Sound: A Review of Deep Learning Methods for 2D Image Processing to Audio Generation
inferred← citeshttps://doi.org/10.1007/s10458-023-09606-9openalex-snapshot
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning
inferred← citeshttps://doi.org/10.1007/s11042-023-15900-1openalex-snapshot
Domain-independent short-term calibration based hybrid approach for motor imagery electroencephalograph classification: a comprehensive review
inferred← citeshttps://doi.org/10.1007/s41060-025-00816-wopenalex-snapshot
Synthetic Data Generation for Healthcare: Exploring Generative Adversarial Networks Variants for Medical Tabular Data
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127970openalex-snapshot
Deep convolutional generative adversarial networks for modeling complex hydrological structures in Monte-Carlo simulation
inferred← citeshttps://doi.org/10.1016/j.matchar.2022.112107openalex-snapshot
Nanoindentation Mapping Defects Filtration for Heterogeneous Materials Using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126287openalex-snapshot
Deep image captioning: A review of methods, trends and future challenges
inferred← citeshttps://doi.org/10.1049/cdt2/5384331openalex-snapshot
A Systematic Literature Review on the Applications, Models, Limitations, and Future Directions of Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1080/10447318.2024.2348837openalex-snapshot
EchoTap: Non-Verbal Sound Interaction with Knock and Tap Gestures
inferred← citeshttps://doi.org/10.1109/access.2020.3042328openalex-snapshot
Generative Adversarial Networks in Human Emotion Synthesis: A Review
inferred← citeshttps://doi.org/10.1109/i2ct57861.2023.10126323openalex-snapshot
Design of Medium to Low Bitrate Neural Audio Codec
inferred← citeshttps://doi.org/10.1109/icarc64760.2025.10963239openalex-snapshot
Advancements in Generative AI and its Applications
inferred← citeshttps://doi.org/10.1109/iecon48115.2021.9589716openalex-snapshot
Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tkde.2021.3130191openalex-snapshot
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
inferred← citeshttps://doi.org/10.1145/3487891openalex-snapshot
Video Generative Adversarial Networks: A Review
inferred← citeshttps://doi.org/10.1155/2022/5882468openalex-snapshot
Research on Chord-Constrained Two-Track Music Generation Based on Improved GAN Networks
inferred← citeshttps://doi.org/10.1609/aiide.v19i1.27496openalex-snapshot
Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds
inferred← citeshttps://doi.org/10.32657/10356/165566openalex-snapshot
Learning to control visual data translation
inferred← citeshttps://doi.org/10.3390/app12147075openalex-snapshot
GAN-Based Approaches for Generating Structured Data in the Medical Domain
inferred← citeshttps://doi.org/10.3390/electronics11152310openalex-snapshot
Data Enhancement of Underwater High-Speed Vehicle Echo Signals Based on Improved Generative Adversarial Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2001.06937openalex-snapshot
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
inferred← citeshttps://doi.org/10.51984/jopas.v24i1.3777openalex-snapshot
Generative Adversarial Networks in Brain Imaging: A Decade-Long Review of Progress and Future Directions
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