Dear List,
we are excited to announce the publication of the Special Issue
on Machine Learning for Audio Signal Processing in the IEEE
Journal of Selected Topics in Signal Processing:
https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=8717740
Audio signal processing is currently undergoing a
paradigm change, where data-driven machine learning is
replacing hand-crafted feature design. This issue is focused on
machine learning techniques in the area of sound,
speech and music signal processing, as well as methodological
considerations of merging machine learning with audio signal
processing.
Various topics are covered, from a review of
deep learning in the audio domain (Purwins et al.) to speech
recognition (Bavu et al.), from voice activity detection (Ariav
and Cohen) to musical brain state decoding (Ntalampiras and
Potamitis), from music information retrieval (Kim et al.) to
bioacoustic classification for species monitoring (Thakur and
Rajan), from polyphonic acoustic event detection (Vesperini
et al.) to heart sound segmentation (Oliveira et al.) and from
speech enhancement (Wood and Rouat) to source separation
(Le Roux et al.).
We hope you will find this special issue useful!
Best,
Hendrik Purwins, Bob Sturm, Bo Li, Juhan Nam, Abeer Alwan
Dr. Hendrik Purwins, Senior Manager & AI Lead ET & G, ASGR
Accenture