A Survey on Audio Synthesis and Audio-Visual Multimodal Processing
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Abstract (arXiv)
With the development of deep learning and artificial intelligence, audio synthesis has a pivotal role in the area of machine learning and shows strong applicability in the industry. Meanwhile, significant efforts have been dedicated by researchers to handle multimodal tasks at present such as audio-visual multimodal processing. In this paper, we conduct a survey on audio synthesis and audio-visual multimodal processing, which helps understand current research and future trends. This review focuses on text to speech(TTS), music generation and some tasks that combine visual and acoustic information. The corresponding technical methods are comprehensively classified and introduced, and their future development trends are prospected. This survey can provide some guidance for researchers who are interested in the areas like audio synthesis and audio-visual multimodal processing.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2021.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 2; 2025: 3.
8 papers.
- 2023Connecting Multi-modal Contrastive Representationscited by 36
- 2024A Survey of Deep Learning Audio Generation Methodscited by 5
- 2022Challenges in creative generative models for music: a divergence maximization perspectivecited by 3
- 2024A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learningcited by 2
- 2022Recent Advances and Challenges in Deep Audio-Visual Correlation Learningcited by 0
- 2025MerGen: Micro-electrode recording synthesis using a generative data-driven approachcited by 0
- 2025Learning from Silence and Noise for Visual Sound Source Localizationcited by 0
- 2025Testing chatbots on the creation of encoders for audio conditioned image generationcited by 0
- 2025Testing chatbots on the creation of encoders for audio conditioned image generation9 Sep 2025
- 2025Learning from Silence and Noise for Visual Sound Source Localization29 Aug 2025
- 2025MerGen: Micro-electrode recording synthesis using a generative data-driven approach21 Mar 2025
- 2024A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning24 Nov 2024
- 2024A Survey of Deep Learning Audio Generation Methods31 May 2024
- 2023Connecting Multi-modal Contrastive Representations22 May 2023
- 2022Challenges in creative generative models for music: a divergence maximization perspective16 Nov 2022
- 2022Recent Advances and Challenges in Deep Audio-Visual Correlation Learning28 Feb 2022