Sciweavers

Share
ML
2006
ACM

Modeling, analyzing, and synthesizing expressive piano performance with graphical models

8 years 4 months ago
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds of strategies used in different musical contexts. Since the literal synthesis of notes from a score is bland and unappealing, there is an opportunity for learning systems that can automatically produce compelling expressive variations. The ESP (Expressive Synthetic Performance) system generates expressive renditions using hierarchical hidden Markov models trained on the stylistic variations employed by human performers. Furthermore, the generative models learned by the ESP system provide insight into a number of musicological issues related to expressive performance. Keywords Graphical models . Hierarchical hidden Markov models . Music performance . Musical information retrieval
Graham Grindlay, David P. Helmbold
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where ML
Authors Graham Grindlay, David P. Helmbold
Comments (0)
books