Recent Advances in Audio Recognition and Signal Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: closed (15 November 2023)
Special Issue Editor
Interests: hydrophones; acoustic signal processing; signal classification; Big Data, acoustic devices; acoustic signal detection; data analysis; filter banks, data mining; ecology; environmental science computing; feature extraction; feature selection; feedforward neural nets; geophysical signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sound is, in most cases, an inextricable aspect of the human experience. Humans are constantly immersed in sound fields, and audio and acoustic signals are hence of primary importance in the information and communication technologies that model, reproduce, and mediate our acoustic perception of reality. Applications concerning audio and acoustic signals are rapidly growing and include telecommunication systems, human–computer interaction, musical industries, autonomous systems and robotics, hearing aids, and bioacoustics, healthcare, smart grid, renewable energy, environment, and sustainability. In recent years, research activity has focused on numerous topics such as audio and speech recognition, acoustic beamforming and source localization, classification of acoustic scenes, signal enhancement, spatial audio recording and reproduction, music signal analysis, synthesis and modification, music information retrieval, and audio for multimedia.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Audio/acoustic signal analysis;
- Audio/acoustic signal classification;
- Audio/acoustic recognition;
- Music information retrieval;
- Enhancement and restoration of audio;
- Audio equalization and filtering;
- Audio effects processing;
- Sound synthesis and modeling;
- Audio coding;
- Sound capture and noise control;
- Sound source separation;
- Room acoustics and spatial audio;
- Signal processing for headphones and loudspeakers;
- High-performance computing in audio;
- Machine learning for audio signal processing;
- Reversible data hiding for audio and speech;
- Steganography for audio and speech;
- Audio/acoustic in VR/AR;
- Audio/acoustic in AI.
We look forward to receiving your contributions.
Prof. Dr. Farook Sattar
Guest Editor
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 2400 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
- audio scene recognition
- sound event recognition
- emotion recognition
- activity recognition
- audio frame feature recognition
- audio security
