Special Issue "Digital Audio and Image Processing with Focus on Music Research"
Deadline for manuscript submissions: closed (31 July 2018)
Prof. Dr. Lorenzo J. Tardón
ATIC Research Group, Dept. Ingeniería de Comunicaciones, E.T.S.I. Telecomunicación, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, Málaga 29071, Spain
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Interests: serious games; digital audio and image processing; pattern analysis and recognition and applications of signal processing techniques and methods
Nowadays, massive amounts of digital data collections are at our reach, and technology is basic in order to get the most benefit from them. A very significant percentage in these data corresponds to musical content in different forms, such as audio, image (scores or other images related to music and music representations) and textual data, among others.
Music has accompanied human beings throughout all epochs of our history, and is essential in our lives: Billions of people enjoy music; our mood is affected by the music we listen, and, at the same time, the type of music we choose depends on our mood and the moment to enjoy it; learning, playing and composing music fills many hours of professional and amateur musicians; music is used as therapy for various kinds of diseases; and music is of key importance to create immersive experiences for different purposes, etc.
Hence, a deeper understanding of music, in the most general sense, benefits a very wide range of aspects of our lives.
This Special Issue is aimed at providing the research community with novel algorithms, methods, developments, applications and understanding of music in the widest sense. Thus, among others, the following concepts are covered:
- Music signal processing techniques: automatic transcription, source separation, optical music recognition, etc.
- Musical tools and methods for new personal and immersive experiences.
- Music signal processing in relation to brain activity analysis and mood.
- Music creation and entertainment; and the synergies arising between individuals connected through musical social media.
- Music learning with new technology-driven methods.
- Music tools based on data mining, machine learning, deep learning and big data.
- Ubiquitous interaction with musical content in multiplatform scenarios.
The manuscripts in this Applied Sciences Special Issue on “Digital Audio and Image Processing with Focus on Music Research” will foster the growth of the interest in all kinds of music-related tasks towards a better technological, cultural, and humanistic future.
Prof. Dr. Lorenzo J. Tardón
Prof. Dr. Isabel Barbancho
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 papers will be 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. Applied Sciences is an international peer-reviewed open access monthly 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 1400 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.
- Music Information Retrieval (MIR)
- Music transcription
- Musical therapy
- Music learning
- Musical interaction
- Music creation
- Musical environment
- Music and the brain