Machine Understanding of Music and Sound

Dear Colleagues,

In a world interconnected by accessible data and smart applications, the need for intelligent methods to understand music and sound continues to grow. From computational musicology to music information retrieval, and from emotion recognition to bioacoustic understanding, data-driven algorithms are increasingly employed to analyze, interpret, and generate sound. These diverse applications include the analysis and transformation of sound, detection and classification of audio events, representation and sonification of data, bioacoustic analysis and interpretation, music recommendation and search systems, recognition of emotion or musical genre, automatic transcription and song recognition, and creative endeavors such as composition and sound synthesis.

While new advances in theoretical machine learning continue to be applied to attempt to answer research questions in the domain of non-speech audio, many challenges remain. Some of these challenges include the limited availability of annotated data, complications in the presence of noise, poor generalizability between data sets, difficulties interpreting trained neural network models, and the absence of performance metrics to evaluate creative endeavors. To address these challenges, ongoing research continues to develop new methods and techniques, leverage multimodal information, integrate deep learning and human perception, and apply existing machine learning techniques to novel applications in music and sound.

This Special Issue on “Machine Understanding of Music and Sound” calls for manuscripts proposing novel machine learning and deep learning methods, approaches, and applications that advance a computational understanding of music and sound.

Dr. Patrick Donnelly
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms 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 1800 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.