Sequential Learning for Tonal Analysis
نویسندگان
چکیده
Tonal harmony analysis is arguably one of the most sophisticated tasks that musicians deal with. It combines general knowledge with contextual cues, being ingrained with both faceted and evolving objects, such as musical language, execution style, or even taste. In the present work we introduce mare, a system for tonal analysis. Music is naturally represented in terms of sequences of sounding events. mare is a first attempt to automatically learn to analyse music using the recently developed framework of conditional models. The system is presented and assessed on a corpus of Western classical pieces from the 18 to the late 19 Centuries repertoire. The results are discussed and interesting issues in modeling this
منابع مشابه
Tonal Harmony Analysis: A Supervised Sequential Learning Approach
We have recently presented CarpeDiem, an algorithm that can be used for speeding up the evaluation of Supervised Sequential Learning (SSL) classifiers. CarpeDiem provides impressive time performance gain over the state-of-art Viterbi algorithm when applied to the tonal harmony analysis task. Along with interesting computational features, the algorithm reveals some properties that are of some in...
متن کاملLearning Tonal Harmony from Bach Chorales
Tonal harmony analysis is an intriguing cognitive skill, combining general domain knowledge with contextual cues. In this work we cast it to a Supervised Sequential Learning problem (SSL), and introduce the system geraint, showing how such a problem can be solved via the HMPerceptron algorithm. We explain the main concepts used in music analysis, their use within an automatic environment, and p...
متن کاملImplicit learning of tonality: a self-organizing approach.
Tonal music is a highly structured system that is ubiquitous in our cultural environment. We demonstrate the acquisition of implicit knowledge of tonal structure through neural self-organization resulting from mere exposure to simultaneous and sequential combinations of tones. In the process of learning, a network with fundamental neural constraints comes to internalize the essential correlatio...
متن کاملSequential Association Rules in Atonal Music
This paper describes a preliminary study on the structure of atonal music. In the same way as sequential association rules of chords can be found in tonal music, sequential association rules of pitch class set categories can be found in atonal music. It has been noted before that certain pitch class sets can be grouped into 6 different categories [10]. In this paper we calculate those categorie...
متن کاملFrom Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models
Tonal structure is in part conveyed by statistical regularities between musical events, and research has shown that computational models reflect tonal structure in music by capturing these regularities in schematic constructs like pitch histograms. Of the few studies that model the acquisition of perceptual learning from musical data, most have employed self-organizing models that learn a topol...
متن کامل