#3686. Generative adversarial networks for speech processing: A review

October 2026publication date
Proposal available till 03-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
Sociology and Political Science;
Speech and Hearing;
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Abstract:
Generative adversarial networks (GANs) have seen remarkable progress in recent years. They are used as generative models for all kinds of data such as text, images, audio, music, videos, and animations. We have categorized speech GANs based on application areas: speech synthesis, speech enhancement & conversion, and data augmentation in automatic speech recognition and emotion speech recognition systems. This review also includes a summary of the data sets and evaluation metrics commonly used in speech GANs.
Keywords:
Data augmentation; GANs; Speech enhancement; Speech GANs; Speech synthesis

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