We present a first step towards anticipatory machine improvisation systems. The proposed system, based on fundamentals of music cognition, is a multi-agent memory-based collaborative and competitive reinforcement learning architecture, capable of live interaction with a musician or a music score. Results demonstrate the ability to model long-term stylistic planning and need for much less traini...

This paper describes a preliminary investigation into the relationship between the highlevel structure of music and expressive performance. The experiment aims to determine whether it is possible in principle to develop a system which uses both the structure of a piece and real-time performance data from a human musician to provide an expressive performance.

This project presents a control surface that combines a grid of photoresistors with a microcontroller to allow a musician to simultaneously manipulate multiple analog components. A brief background on past uses of photosensitive components for music and film composition and instrument-building introduces a few contexts for the controller. Topics such as implementation, construction, performance...

The incremental parsing (IP) algorithm has been successfully used in real-time applications, due to its efficiency and power to model musical style. For example, musical systems using IP can continue phrases played by a musician in a consistent way. This paper proposes some alterations in the original algorithm in order to adapt it to accompaniment systems.

Musical experience has been shown to positively affect non-native lexical tone perception and production. The current study divided musicians into vocalists and instrumentalists to see if either background was particularly advantageous. The results showed no difference between the musician groups on either task. Additional analyses of individual tones yielded results consistent with previous re...

This paper presents the SARC EyesWeb Catalog (SEC), a group of blocks designed for real-time gesture recognition that have been developed for the open source program EyesWeb. We describe how the recognition of real-time body movements can be used for musician-computer-interaction.

Originally from Brooklyn, New York, Christopher S. Graffeo was an Undergraduate at the University of Virginia, where he studied literature, art history, and philosophy. After returning to York City working for several years as editor a musician, enrolled in Postbaccalaureate Premedical Program Columbia went on medical school NYU.

Currently, a musician working with digital technology is faced with a panoply of musical tools that can be roughly characterized by a split between ready-made music production software on the one hand, and audio-programming environments such as SuperCollider, CSound, Pure Data, Max/MSP, ChucK, or Audiomulch (to name but a few) on the other. Problems with the former lie in the conceptual and com...

Abstract Background Awake craniotomy is used to resect tumor while preserving language. However, differences between patients in post-operative speech/language outcome are observed despite careful intra-operative monitoring. Literature describes improved performance language tasks during cognitive tests musicians. Moreover increased white matter connectivity properties the corpus callosum descr...

The author of the article reveals problem developing emotional stability future music art teachers in high school. It has been determined that specified is relevant for profession a musician, which requires endurance both while learning musical pieces and when performing them public. Analyzing source base, defines concept "emotional stability" as component intelligence, personality quality, for...