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.
翻译:随着深层次的学习和人工智能的发展,音频合成在机器学习领域发挥着关键作用,并显示出该行业具有很强的实用性;与此同时,研究人员作出了重大努力,处理目前诸如视听多式联运处理等多式联运任务;在本文件中,我们进行了一项关于音频合成和视听多式联运处理的调查,这有助于了解目前的研究和今后的趋势;这次审查侧重于语言文字、音乐制作和将视觉和声频信息结合起来的一些任务;对相应的技术方法进行全面分类和采用,并展望其未来的发展趋势;这项调查可以为对音频合成和视听多式联运处理等领域感兴趣的研究人员提供一些指导。