CfP: EURASIP JASMP special issue on Recent Advances in Computational Sound Scene Analysis

EURASIP Journal on Audio, Speech and Music Processing

Special issue on Recent Advances in Computational Sound Scene Analysis
Deadline: 1st April 2022

Topics of interest include but are not limited to:

  • Methodology: signal processing, machine learning, auditory perception, taxonomies, and ontologies related to sound scenes and events
  • Tasks and applications: acoustic scene classification, sound event detection and localization, sound source separation, audio tagging, audio captioning, detection of rare sound events, anomaly audio event detection, computational bioacoustic scene analysis, urban soundscape analysis, and cross-modal analysis (e.g. audio recognition/analysis with information from video, texts, image, language, etc.)
  • Machine learning methodologies for sound scene analysis: self-supervised learning, few-shot learning, meta-learning, generative models, explainable machine learning, continual learning, curriculum learning, active learning, multi-task learning, and attention mechanisms
  • Human-centered sound scene analysis: human-computer interaction and interfaces, user-centered evaluation, visualization of audio events and scenes, and user annotation
  • Evaluation, datasets, software tools, and reproducibility in computational sound scene and event analysis
  • Ethics and policy: legal and societal aspects of computational sound scene analysis; ethical and privacy issues related to designing, implementing and deploying sound scene analysis systems; privacy-preserving sound scene analysis; federated learning for sound scene analysis
  • Performance metrics: studies for developing effective evaluation metrics and tools for related tasks in audio scene analysis, event detection, and audio tagging

The EURASIP Journal on Audio, Speech, and Music Processing recognizes novel contributions of the following types within its area:

  • Empirical Research: Data-driven research, new experimental results, and new data sets
  • Methodology: New theory and methods for the processing of speech, audio, and music signals
  • Software: New software implementations and toolboxes for speech, audio, and music processing
  • Review: Timely and comprehensive overview and tutorial material covering recent developments within the field

Submission instructions:

Guest Editors:
Jakob Abeßer, Fraunhofer IDMT, Germany
Emmanouil Benetos, Queen Mary University of London, UK
Annamaria Mesaros, Tampere University, Finland
Wenwu Wang, University of Surrey, UK