Visual Design Systems for Music Education

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Harmony and Technology Enhanced Learning

New technologies offer rich opportunities to support education in harmony. In this chapter we consider theoretical perspectives and underlying principles behind technologies for learning and teaching harmony. Such perspectives help in matching existing and future technologies to educational purposes, and to inspire the creative re-appropriation of technologies

A geometric framework for pitch estimation on acoustic musical signals

This paper presents a geometric approach to pitch estimation (PE)-an important problem in Music Information Retrieval (MIR), and a precursor to a variety of other problems in the field. Though there exist a number of highly-accurate methods, both mono-pitch estimation and multi-pitch estimation (particularly with unspecified polyphonic timbre) prove computationally and conceptually challenging. A number of current techniques, whilst incredibly effective, are not targeted towards eliciting the underlying mathematical structures that underpin the complex musical patterns exhibited by acoustic musical signals. Tackling the approach from both a theoretical and experimental perspective, we present a novel framework, a basis for further work in the area, and results that (whilst not state of the art) demonstrate relative efficacy. The framework presented in this paper opens up a completely new way to tackle PE problems, and may have uses both in traditional analytical approaches, as well as in the emerging machine learning (ML) methods that currently dominate the literature

The C-BRAHMS Project

Bononia University Press; 88-7395-155-4;Peer reviewe

Compression-based geometric pattern discovery in music

The purpose of musical analysis is to find the best possible ex-planations for musical objects, where such objects may range from single chords or phrases to entire musical corpora. Kol-mogorov complexity theory suggests that the best possible ex-planation for an object is represented by the shortest possible description of it. Two compression algorithms, COSIATEC and SIATECCOMPRESS, are described that take point-set representations of musical objects as input and generate com-pressed encodings of these point sets as output. The algo-rithms were evaluated on a task in which 360 folk songs were classified into tune families using normalized compression distance, a 1-nn classifier and leave-one-out cross-validation. COSIATEC achieved a success rate of 84 % on this task, compared with a success rate of 13 % for a general-purpose compressor. Variants of the algorithms incorporating modi-fications that have been suggested in the literature were also run on the task and the results were compared

Liturgically-informed aesthetics: A theological approach to chant pedagogy and performance

A paper presented at the Pan-Orthodox Music Symposium in Minneapolis (USA) on 22-26 June, 2016

04021 Abstracts Collection -- Content-Based Retrieval

From 04.01.04 to 09.01.04, the Dagstuhl Seminar 04021 ``Content-Based Retrieval\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available