Connectionists: CfP: Machine Learning for Audio, IEEE J-STSP Special Issue

[Hendrik Purwins]

Apologize for multiple postings

Call for Papers: IEEE Journal of Selected Topics in Signal Processing 
(J-STSP)
Special Issue on Data Science: Machine Learning for Audio Signal Processing

Audio signal processing is currently undergoing a paradigm change, where 
data-driven machine learning is replacing hand-crafted feature design. 
This has led some to ask whether audio signal processing is still useful 
in the "era of machine learning." There are many challenges, new and 
old, including the interpretation of learned models in high dimensional 
spaces, problems associated with data-poor domains, adversarial 
examples, high computational requirements, and research driven by 
companies using large in-house datasets that is ultimately not reproducible.

This special issue aims to promote progress, systematization, 
understanding, and convergence of applying machine learning in the area 
of audio signal processing. Specifically, we are interested in work that 
demonstrates novel applications of machine learning techniques in the 
area of sound and music signal processing, as well as methodological 
considerations of merging machine learning with audio signal processing. 
We seek contributions in, but not limited to, the following topics:
     - audio information retrieval using machine learning;
     - audio synthesis with given contextual or musical constraints 
using machine learning;
     - audio source separation using machine learning;
     - audio transformations (e.g., sound morphing, style transfer) 
using machine learning;
     - unsupervised learning, online learning, one-shot learning, 
reinforcement learning, and incremental learning for audio;
     - applications/optimization of generative adversarial networks for 
audio;
     - cognitively inspired machine learning models of sound cognition;
     - mathematical foundations of machine learning for audio signal 
processing.
     This call addresses audio signal processing for speech, acoustic 
scenes, and music.
Prospective authors should follow the instructions given on the IEEE 
JSTSP webpages: 
https://signalprocessingsociety.org/publications-resources/ieee-journal-selected-topics-signal-processing 
and submit their manuscript with the web submission system at: 
https://mc.manuscriptcentral.com/jstsp-ieee

Important Dates:
     Submission deadline: October 1, 2018
     1st review completed: December 1, 2018
     Revised manuscript due: February 1, 2019
     2nd review completed: March 1, 2019
     Final Manuscript due: April 1, 2019
     Publication: May, 2019

Guest Editors:
     - Abeer Alwan, University of California Los Angeles, USA 
(alwan at ee.ucla.edu)
     - Bo Li, Google, USA (boboli at google.com)
     - Juhan Nam, Korea Advanced Institute of Science and Technology, 
Korea (juhannam at kaist.ac.kr)
     - Hendrik Purwins, Aalborg University Copenhagen, Denmark 
(hpurwins at gmail.com)
     - Ariya Rastrow, Amazon, USA (arastrow at amazon.com)
     - Bob L. Sturm, KTH Royal Institute of Technology, Sweden 
(b.sturm at qmul.ac.uk)

-- 
Dr. Hendrik Purwins, Associate Professor, Dipl.-Math.
Technical Faculty of IT and Design
Aalborg University Copenhagen
http://homes.create.aau.dk/hpu/