English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We present a statistical-modelling method for piano reduction, i.e.converting an ensemble score into piano scores, that can control performancedifficulty. While previous studies have focused on describing the condition forplayable piano scores, it depends on player's skill and can change continuouslywith the tempo. We thus computationally quantify performance difficulty as wellas musical fidelity to the original score, and formulate the problem asoptimization of musical fidelity under constraints on difficulty values. First,performance difficulty measures are developed by means of probabilisticgenerative models for piano scores and the relation to the rate of performanceerrors is studied. Second, to describe musical fidelity, we construct aprobabilistic model integrating a prior piano-score model and a modelrepresenting how ensemble scores are likely to be edited. An iterativeoptimization algorithm for piano reduction is developed based on statisticalinference of the model. We confirm the effect of the iterative procedure; wefind that subjective difficulty and musical fidelity monotonically increasewith controlled difficulty values; and we show that incorporating sequentialdependence of pitches and fingering motion in the piano-score model improvesthe quality of reduction scores in high-difficulty cases.

Statistical Piano Reduction Controlling Performance Difficulty