This Research Topic has been organized in partnership with CSMT 2021.
Machines have been taught to “see” much more than to “hear” in the community of artificial intelligence (AI), which has experienced a fast and ever-changing development in theory, methodology and paradigm during the past decades. Computer audition (CA), as an emerging interdisciplinary subject that aims to make machines reach or even succeed our human beings in listening to the world, have already achieved promising milestones in understanding the environmental sounds, improving the digital music production, diagnosing diseases via body sounds, and many more.
In this Research Topic, motivated by the concept of human-centred AI (HAI), we make an emphasis on CA based applications that can be applied to better the daily life of ourselves. Compared to the computer vision (CV) originated methods, CA can provide more prevalent and less expensive solutions for a plenty scenarios in security surveillance, music aesthetics and healthcare monitoring. We will build an open-forum to all scientists, engineers, and artisists who are interested in the development of CA.
Prospective authors from both academia and industry are very welcome to submit original research articles, short communcations in recent breakthrough or findings, comprehensive or mini reviews, perspectives and opinions.
Relevant topics include but is not limited to:
- Computational analysis of sound scenes and events.
- Digital music, AI and arts.
- Semantic Audio.
- Machine Listening.
- Speech Analysis.
- Computational Paralinguistics.
- Computer audition for healthcare.
- Ambient audio analysis.
- Artificial Intelligence for audio based applications.
- Internet-of-Things applications utilising Computational Audio.
- Audio based methods for physiological and psychological diseases diagnosis, treatment and management.
- Explainable AI in computer audition.