Titlebook: ;

新星

哭得清醒了

Expressive Performance Rendering with Probabilistic Models,d predicts performance characteristics using information extracted from the score. We discuss the basic system that won the Rendering Contest RENCON 2008 and then present several extensions, two of which aim to incorporate the current performance context into the prediction, resulting in more stable

strain

Mendicant

Modeling, Analyzing, Identifying, and Synthesizing Expressive Popular Music Performances,ver, there is little quantitative information about how and in which contexts this manipulation occurs. In this chapter, we describe an approach to quantitatively model and analyze expression in popular music monophonic performances, as well as identifying interpreters from their playing styles. The

Lyme-disease

Statistical Approach to Automatic Expressive Rendition of Polyphonic Piano Music,ortant element in achieving automatic expressive piano performance since the piano is a polyphonic instrument. We will start by discussing the features of polyphonic piano expression and present a method for modeling it based on an approximation involving melodies and harmonies. An experimental eval

Duodenitis

植物學(xué)

Computational Music Theory and Its Applications to Expressive Performance and Composition, and transcribing such knowledge, experiences, and skills from a musician’s perspective. Our concern is whether the concepts necessary for musical analysis are sufficiently externalized in musical theory. Given its ability to formalize musical knowledge, GTTM is considered here to be the most promis

防水

Anthropomorphic Musical Robots Designed to Produce Physically Embodied Expressive Performances of Mc robots to roughly emulate the physical dynamics and motor dexterity of humans while playing musical instruments. In particular, research on musical robots provides opportunity to study several aspects outside of robotics, including understanding human motor control from an engineering point of vie

鬼魂

GREEN