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Applications and prospects of artificial intelligence in acoustics
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Chengshi ZHENG1, 2, Andong LI1, 2, Dan RAO3, Minmin YUAN4, Feng JIANG1, Xiaodong LI1, 2
Science & Technology Review | 2026, 44(4) : 62 - 78
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Science & Technology Review | 2026, 44(4): 62-78
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Applications and prospects of artificial intelligence in acoustics
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Chengshi ZHENG1, 2, Andong LI1, 2, Dan RAO3, Minmin YUAN4, Feng JIANG1, Xiaodong LI1, 2
Affiliations
  • 1Laboratory of Noise and Audio Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510641, China
  • 4Research Institute of Highway, Minisry of Transport, Beijing 100088, China
Published: 2026-02-28 doi: 10.3981/j.issn.1000-7857.2025.09.00081
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Artificial intelligence is regarded as the core driving force of the Fourth Industrial Revolution. While it brings impacts and challenges to many traditional industries, it also plays an important role in empowering and enhancing their quality. Similarly, it has brought new development opportunities to the ancient discipline of acoustics. Currently, artificial intelligence has been deeply intersecting and integrating with underwater acoustics, ultrasonics, and air acoustics, continuously promoting the innovation of acoustic technologies. This paper focuses on the applications of artificial intelligence in acoustics, especially in air acoustics. Firstly, we elaborate in detail on the current applications of artificial intelligence in many fields, such as speech signal processing, sound source localization, spatial audio, acoustic event detection, classification and monitoring, as well as acoustic simulation and optimization, and we then further analyze the advantages of using artificial intelligence when compared with traditional methods. Secondly, in terms of the possible core problems which can hinder applications in practical scenarios, we conduct comprehensive discussions, including generalization, data dependency and low quality, computational complexity, real−time deployment, and multi−modality fusion. Finally, we summarize the challenges faced by the application of artificial intelligence in acoustics and the future development directions.

artificial intelligence  /  deep learning  /  acoustics  /  audio signal processing  /  sound source localization  /  spatial audio
Chengshi ZHENG, Andong LI, Dan RAO, Minmin YUAN, Feng JIANG, Xiaodong LI. Applications and prospects of artificial intelligence in acoustics[J]. Science & Technology Review, 2026 , 44 (4) : 62 -78 . DOI: 10.3981/j.issn.1000-7857.2025.09.00081
Year 2026 volume 44 Issue 4
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.09.00081
  • Receive Date:2025-06-23
  • Online Date:2026-03-16
  • Published:2026-02-28
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  • Received:2025-06-23
  • Revised:2025-11-22
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Affiliations
    1Laboratory of Noise and Audio Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
    2University of Chinese Academy of Sciences, Beijing 100049, China
    3School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510641, China
    4Research Institute of Highway, Minisry of Transport, Beijing 100088, China
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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