Special Issue "Recent Advances in Audio, Speech and Music Processing and Analysis"
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: 16 October 2023 | Viewed by 838
Special Issue Editors
Interests: digital sound processing and analysis; blind speech separation; speech recognition; EEG/MEG brain signal analysis; medical image analysis
Special Issues, Collections and Topics in MDPI journals
Interests: networked music performance; machine musicianship; music information retrieval; musical acoustics
Special Issue Information
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.
Dr. Athanasios Koutras
Dr. Chrisoula Alexandraki
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sound analysis
- sound processing
- music information retrieval
- audio analysis
- audio recognition
- music technology
- computational music cognition