Morwaread M. Farbood

Learn More
The Hyperscore graphical computer-assisted composition system for users with limited or no musical training takes freehand drawing as input, letting users literally sketch their pieces. Designing an intelligent, intuitive system that enables novices-particularly children-to compose music is a difficult task. We can view the problem as a spectrum of tasks(More)
Hyperscore is a graphical, computer-assisted composition system that allows users to intuitively visualize and edit musical structures. It maps musical features to graphical elements such as color, shape, and line texture. These graphical elements allow users to control both high and low-level musical features such as pitch, dynamics, melodic contour, and(More)
This paper presents a method for discovering patterns of note collections that repeatedly occur in a piece of music. We assume occurrences of these patterns must appear at least twice across a musical work and that they may contain slight differences in harmony, timbre, or rhythm. We describe an algorithm that makes use of techniques from the music(More)
A central process in music cognition involves the identification of key; however, little is known about how listeners accomplish this task in real time. This study derives from work that suggests overlap between the neural and cognitive resources underlying the analyses of both music and speech and is the first, to our knowledge, to explore the timescales(More)
In this paper, we aim to raise awareness of the limitations of the F-measure when evaluating the quality of the boundaries found in the automatic segmentation of music. We present and discuss the results of various experiments where subjects listened to different musical excerpts containing boundary indications and had to rate the quality of the boundaries.(More)
This extended abstract discusses our pattern discovery algorithm submitted to the MIREX 2013 Discovery of Repeated Themes & Sections task. This algorithm estimates the musical patterns by finding specific repetitions within a piece and applying certain perceptually inspired rules. Four different versions of the algorithm were submitted: two that take an(More)
Music, like speech, is a complex auditory signal that contains structures at multiple timescales, and as such is a potentially powerful entry point into the question of how the brain integrates complex streams of information. Using an experimental design modeled after previous studies that used scrambled versions of a spoken story (Lerner et al., 2011) and(More)
Musical tension is a high-level concept that is difficult to formalize due to its subjective and multi-dimensional nature. This paper presents a quantitative, parametric model of tension based on empirical data gathered in two experiments. The first experiment is an online test with short musical excerpts and multiple choice answers. The format of the test(More)
This extended abstract describes the pattern discovery submission to MIREX 2014 of an algorithm that uses music segmentation (or music structure analysis) techniques and a refined greedy method in order to identify the repetitive musical patterns of a given music piece, either represented symbolically or with an actual audio file. We obtain a harmonic(More)