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Journal of Electronics (IF 2.690, CiteScore 3.7 Scopus)
ISSN 2079-9292.
This special issue belongs to the section “Circuit and Signal
Processing”.

Special Issue
“Recent Advances in Audio, Speech and Music Processing and Analysis”

Deadline for manuscript submissions: *** 16 October 2023 ***.

https://www.mdpi.com/journal/electronics/special_issues/F79UH5305N
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Dear Colleagues,

Audio plays an important role in everyday life since it is incorporated
in various applications from broadcasting and telecommunications to the
entertainment, multimedia, and gaming industries. Although less popular
than image processing technology, which has overwhelmed the industry in
recent years, audio processing in academia is under vigorous research
and technological development. The relevant research initiatives are
involved with speech recognition, audio compression, noise canceling,
speaker verification and identification, voice synthesis, and voice
transcription systems, to name a few. Furthermore, with respect to music
signals, research initiatives focus on music information retrieval for
music streaming and recommendation, networked music making, teaching and
performing, autonomous, semi-autonomous computer musicians, and many
more. This Special Issue gives the opportunity to disseminate state of
the art progress on emerging applications, algorithms, and systems
related to audio, speech, and music processing and analysis.

Topics of interest include, but are not limited to:

     Audio and speech analysis and recognition.
     Deep learning for robust speech recognition systems.
     Active noise cancelling systems.
     Blind speech separation.
     Robust speech recognition in multi-simultaneous speaker
environments.
     Room acoustics modeling.
     Environmental sound recognition.
     Music information retrieval.
     Networked music performance systems.
     Internet of Sounds technologies and applications.
     Computer accompaniment and machine musicianship.
     Digital music representations and collaborative music making.
     Online music education technologies.
     Computational approaches to musical acoustics.
     Music generation using deep learning.

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Guest Editors

Dr. Athanasios Koutras, Electrical & Computer Engineering Dept.,
University of Peloponnese, Greece
Dr. Chrisoula Alexandraki, Department of Music Technology & Acoustics,
Hellenic Mediterranean University, Greece