Among other factors, high complexity and mandatory expert computer knowledge make many music IR and music analysis systems unsuitable for the majority of largely computer-illiterate musicologists. The JRing system offers highly flexible yet intuitively usable search and comparison operations. to aid musicologists during score analysis. This paper discusses the requirement analysis that led to J...

ion in Computer Music Software Systems

The field of music raises very interesting challenges to computer science and in particular to Artificial Intelligence. Indeed, as we will see, computational models of music need to take into account important elements of advanced human problem solving capabilities such as knowledge representation, reasoning, and learning. In this paper I describe examples of computer programs capable of carryi...

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GUIDO Music Notation is capable of adequately representing almost any kind of score-level music. The GUIDO NoteServer is an online service for converting arbitrary GUIDO descriptions into graphical images of the corresponding conventional scores. In this presentation, we describe the inner workings of the GUIDO NoteServer and how it is used to deliver high quality music scores through the web. ...

This thesis contributes to bridging the gap between music information retrieval (MIR) and musicology. We present several automated methods for music analysis, which are motivated by concrete application scenarios being of central importance in musicology. In this context, the automated music analysis is performed on the basis of audio material. Here, one reason is that for a given piece of musi...

EarSketch is a novel approach to teaching computer science concepts via algorithmic music composition and remixing in the context of a digital audio workstation paradigm. This project includes a Python/Javascript coding environment, a digital audio workstation view, an audio loop browser, a social sharing site and an integrated curriculum. EarSketch is aimed at satisfying both artistic and peda...

This paper describes affective and psychophysiological foundations used to help to control affective content in music production. Our work includes the proposal of a knowledge base grounded on the state of the art done in areas of Music Psychology. This knowledge base has relations between affective states (happiness, sadness, etc.) and high level music features (rhythm, melody, etc.) to assist...

The applied techniques are based on the assumption that music is representable symbolically. This is the case for most music; consider, e.g., the score notation of western music or MIDI. These are not, however, ideal representations; the score notation requires a conversion into a computer-readable form, and MIDI contains a lot of irrelevant information. Instead, music is represented by sequenc...

The results of this project have multiple applications. Determining optimal preview clips can help potential customers select music before purchasing it and also allow users to quickly scan through the pieces of a playlist to ensure continuity. Tagging music with its representative clip allows computers to present music search results to users in a more native, informative format than just word...