Recently, making electronic data of the multimedia such as music, images, books, and so on has been spread. However, it is necessary to look for specific contents in the database with a large amount of music data because electronic data increases rapidly. Therefore, an efficient search engine is requested. This paper presents a music retrieval method focusing on the impression keywords. In the ...

Musical performance in a cultural context has always been inextricably linked to the human body, yet, the body has played only a minor role in the creation and performance of electronic music. This paper will consider aesthetic and technical issues relating to: (1) the social/cultural construction of contexts for chamber music and dance; (2) our construction of gestural “composed instruments” a...

IN THE FIELD OF MUSIC, the impact of electronic information goes beyond research on music and writings about music to the processes of creating, notating, printing, performing, and recording music. The overview of electronic publications and information resources selectively covers: (1)bibliographic citations of books, articles, scores, and sound recordings; (2) electronic network resources; (3...

Grainger’s Free Music remains a rich source of discovery for contemporary Australian musicians. Free Music represents a significant departure point for electronic musicians and instrument makers searching for new musical language, form and expression. This paper presents research undertaken by the Bent Leather Band exploring Grainger’s Free Music ideas within a 21 century music-making context e...

This paper provides an overview of the Crowdsorting Timed Comments about Music Task, a new task in the area of crowdsourcing for social media offered by the MediaEval 2014 Multimedia Benchmark. Data for this task is a set of Electronic Dance Music (EDM) tracks, collected from online music sharing platform Soundcloud. Given a set of noisy labels for segments of Electronic Dance Music (EDM) that ...

The Generative Electronic Dance Music Algorithmic System (GEDMAS) is a generative music system that composes full Electronic Dance Music (EDM) compositions. The compositions are based on a corpus of transcribed musical data collected through a process of detailed human transcription. This corpus data is used to analyze genre-specific characteristics associated with EDM styles. GEDMAS uses proba...

Key detection in electronic dance music is important for producers and DJ’s who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves the performance of an existing method by introducing a system of multiple profiles, addressing difficult minor tracks as well as possibly amodal ones. After the explanation ...

Sample retrieval remains a central problem in the creative process of making electronic dance music. This paper describes the findings from a series of interview sessions involving users working creatively with electronic music. We conducted in-depth interviews with expert users on location at the Red Bull Music Academies in 2014 and 2015. When asked about their wishes and expectations for futu...