[AUDITORY] CFP -- Special Issue on Deep Learning for Acoustic Sensor Array Processing (DL-ASAP)

[Carlo Drioli <carlo.drioli@xxxxxxxx>]

    Dear List,
    
    Submissions are now open for a special issue of Pattern Recognition
    Letters on Deep Learning for Acoustic Sensor Array Processing
    (DL-ASAP). Please find the CfP in Elsevier PRL web pages at:
    
https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/deep-learning-for-acoustic-sensor-array-processing-dl-asap
    
    Submission deadline: March 20, 2022
    
    You are welcome to distribute this call to your research team
    members.
    
    The proposed special issue aims to present recent advances in the
    development of artificial intelligence and deep learning methods for
    acoustic sensor array processing emphasizing the associated theory,
    models, and applications. Automatic computer audition and microphone
    arrays need novel methods that use modern deep learning array
    processing addressing the challenges raised by real-life
    applications. The Special Issue welcomes research papers covering
    innovative learning-based approaches, theoretical advances,
    technological improvements, and novel applications in the field.
    
    The particular topics of interest include, but are not limited to:
    
    - Machine learning models and algorithms for acoustic sensing
    - Detection and recognition of acoustic events
    - Deep learning for localization in noisy and reverberant
    environments
    - Data-driven tracking moving sources
    - Deep learning for acoustic scene analysis
    - Source separation and audio signal enhancement with expert systems
    - Voice recognition
    - Machine learning acoustic source identification
    - Binaural processing and artificial intelligence
    - Distributed acoustic sensor networks with expert systems
    - Deep learning for simultaneous localization and mapping (SLAM)
    - Source and scene classification
    
    Kind regards,
    The Guest Editors