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Can be used audio embeddings as input for a WGAN?

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Audio embeddings can indeed be utilized as input for a Wasserstein Generative Adversarial Network (WGAN). Research has shown that audio embeddings can be effectively employed in various applications, such as generating images from audio and optimizing audio steganography. For instance, the WavBriVL method projects audio into a shared embedded space for multimodal applications . Additionally, using word embeddings to represent semantic descriptors in audio mixing processes has proven to enhance machine learning models' understanding of creative goals . Moreover, the use of Generative Adversarial Networks (GANs) in audio steganography has demonstrated the ability to automatically learn optimal embedding probabilities for concealing messages in audio signals . Therefore, integrating audio embeddings into a WGAN framework can potentially enhance the network's performance in generating realistic audio outputs.

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Papers (5)	Insight
Open access•Journal Article•DOI Word Embeddings for Automatic Equalization in Audio Mixing Satvik Venkatesh, David Moffat, Eduardo Miranda - Show less +2 more 17 Feb 2022-Journal of The Audio Engineering Society 1 Citations	Not addressed in the paper.
Journal Article•DOI Audio (vector) algebra: Vector space operations on neural audio embeddings Scott H. Hawley, Zach Evans, Joe Baldridge - Show less +2 more 01 Oct 2022-Berkeley Program in Law & Economics	Not addressed in the paper.
Journal Article•DOI New Audio Representations Image Gan Generation from BriVL Sen Fang, Yang Wu, Bowen Gao, Teik-Toe Teoh - Show less +3 more 08 Mar 2023-arXiv.org	Yes, audio embeddings can be used as input for a WGAN in the proposed method WavBriVL, which generates images from audio by learning correlations between audio and images.
Open access•Posted Content•DOI New Audio Representations Image Gan Generation from BriVL 08 Mar 2023	Yes, audio embeddings can be used as input for a WGAN (WavBriVL) to generate images, demonstrating correlation between audio and image, enabling audio-driven picture generation.
Proceedings Article•DOI Approaching Optimal Embedding In Audio Steganography With GAN Jianhua Yang, Huilin Zheng, Xiangui Kang, Yun-Qing Shi - Show less +3 more 04 May 2020 4 Citations	Not addressed in the paper.

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