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


Subject: [AUDITORY] 2nd CFP -- Special Issue on Deep Learning for Acoustic Sensor Array Processing (DL-ASAP)
From:    Carlo Drioli  <carlo.drioli@xxxxxxxx>
Date:    Wed, 2 Mar 2022 10:01:09 +0100

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 -- ---------------------------------------------- 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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