Acoustics Sensing, Signal Processing, and Deep Learning Models
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: 15 June 2025 | Viewed by 618
Special Issue Editors
Interests: acoustics and acoustic engineering; acoustic analysis; underwater acoustics; chaos theory; nonlinear dynamics; deep learning; machine learning; signal processing; audio signal processing
Interests: vibration and noise in ship structures; signal processing; vibration and noise in railway systems
Interests: propeller vibration and noise; ship propulsion systems; wind power generation system integration; industrial fan design
Special Issue Information
Dear Colleagues,
Acoustics has emerged as the key to sensing in a wide range of applications, from space to deep sea environments. The development of acoustic devices ranges from sophisticated consumer electronics to advanced acoustic sensing in ultrasonic, marine, and terrestrial environments, and space. These diverse technological applications of acoustic sensing have given way to the rapid process of novel signal processing and methodologies to analyze acoustic data, ranging from traditional methods to recent applications of deep learning and generative models for voice recognition, voice-to-speech conversion, and fake audio. This Special Issue aims to publish these recent technological advances in acoustic sensing and related methodologies.
Original research articles and reviews are welcome in this Special Issue. Research areas may include (but are not limited to) the following:
- Marine and Terrestrial Acoustics.
- Space Acoustics.
- Room Acoustics.
- Vibrational Acoustics.
- Electronic Acoustics.
- Deep learning and Generative Models in Acoustics.
- Signal Processing Methods in Acoustics.
- Acoustics in Medical Research.
- Underwater Acoustic Communication.
- Acoustical Time Series Analysis.
- Nonlinear Methodologies in Acoustics.
Dr. Shashidhar Siddagangaiah
Prof. Dr. Rong-Juin Shyu
Prof. Dr. Jui-Hsiang Kao
Guest Editors
Manuscript Submission Information
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Keywords
- acoustics
- signal processing
- audio
- deep learning in audio
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