Special Issue "Applications of Machine Learning in Audio Classification and Acoustic Scene Characterization"
Deadline for manuscript submissions: 30 June 2021.
Interests: machine learning; audio engineering; psychoacoustics; spatial audio
The goal of “audio classification” (AC) is to automatically identify the origin and attributes of individual sounds, while the aim of “acoustic scene characterization” (ASC) is to computationally describe more complex acoustic scenarios, consisting of many simultaneously sound-emitting sources. The additional difference between the tasks of AC and ASC is that the latter one also encompasses the identification and description of acoustical environments where the audio recordings took place. Hence, ASC portrays sonic events at a higher and more generic level compared to AC. Nevertheless, due to a considerable application and methodological overlap between ASC and AC, we decided to cover both areas of research within the scope of this Special Issue.
An important but still under-researched aspect of the ASC is the “spatial” characterization of sound scenes. Most of the AC and ASC systems developed so far are limited to the identification of monaurally recorded audio sources or events, overlooking the importance of their spatial characteristics. Therefore, we are interested in research papers that include but are not limited to the following topics:
- Spatial audio scene characterization;
- Localization of sound sources within complex audio scenes;
- Automatic indexing, search or retrieval of spatial audio recordings;
- Acoustic scene characterization in music information retrieval;
- Data-efficient augmentation for deep learning-based audio classification algorithms;
- Intelligent audio surveillance systems;
- Detection of anomalous or emergency-related sounds;
- Acoustically-based systems for early detection and fault prevention in industrial settings.
Dr. Sławomir K. Zieliński
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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- audio classification
- acoustic scene characterization
- spatial audio
- machine learning
- deep learning