Extraction of the main melody of a musical piece is a preliminary step in the process of transcribing the piece. Automatic melodic extraction is the task of computationally extracting what a human listener would perceive as the main melody of a polyphonic recording. Several melodic extraction systems have been proposed. However, such systems normally require a number of parameters to be manuall...

IMPROVISATION Kjell Bäckman Informatics Department University West Trollhättan, Sweden ABSTRACT Recent work by the author has revealed the need for an automatic fitness function in the evolutionary algorithm for generation of jazz solos. A computer based automatic fitness function enables greater populations and a great number of generations within a manageable time. This paper describes how th...

On the spot, as great jazz performers expertly improvise solo passages, they make immediate decisions about which musical phrases to invent and to play. Researchers, like authors Mónica López-González and Dana Foundation grantee Charles J. Limb, are now using brain imaging to study the neural underpinnings of spontaneous artistic creativity, from jazz riffs to freestyle rap. So far, they have f...

This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Entity. In phase 1 of training, recurrent back-propagation trains the machine to reproduce 3 jazz melodies. The recurrent network is expanded and is further trained in phase 2 with a reinforcement learning algorithm and a ...

This paper describes AR-Jazz, an augmented reality application designed to visualize sound and movements in live jazz performances. The augmented scenario is achieved within the program Max MSP Jitter, with an integrated inertial sensor and a microphone. As a display, a cinema screen is used. The application was first shown at the SedaJazz Festival 2007 in Valencia (Spain). In first place, a wo...

Musicians exchange non-verbal cues as messages when they play together. This is particularly true in music with a sketchy outline. Jazz musicians receive and interpret the cues when performance parts from a regular pattern of rhythm, suggesting that they enjoy a highly developed sensitivity to subtle deviations of rhythm. We demonstrate that pre-attentive brain responses recorded with magnetoen...

This paper will focus on the co-adaptation of a group of humans and an intelligent system which acts as a disc jockey. The intelligent system selects and delivers background music in a workplace environment. The humans provide limited feedback about their preferences, and the intelligent system attempts to minimize the number of unacceptable choices of music. During the study, the actual tracks...

Whether automatically extracted or human generated, open-domain factual knowledge is often available in the form of semantic annotations (e.g., composed-by) that take one or more specific instances (e.g., rhapsody in blue, george gershwin) as their arguments. This paper introduces a method for converting flat sets of instance-level annotations into hierarchically organized, concept-level annota...

We present methods for automatically producing summary excerpts or thumbnails of music. To find the most representative excerpt, we maximize the average segment similarity to the entire work. After window-based audio parameterization, a quantitative similarity measure is calculated between every pair of windows, and the results are embedded in a 2-D similarity matrix. Summing the similarity mat...