[AUDITORY] 2nd CFP -- Special Issue on Deep Learning for Acoustic Sensor Array Processing (DL-ASAP)

[Carlo Drioli <carlo.drioli@xxxxxxxx>]

Dear List,

Submissions are welcome for our Pattern Recognition Letters special 
issue 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


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Carlo Drioli, PhD
Department of Mathematics, Computer Science and Physics
University of Udine
Via delle Scienze, 206
33100 Udine
phone: +39-0432-558448
email: carlo.drioli@xxxxxxxx
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