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Modeling Expressive Music Performance in Bassoon Audio Recordings

by Rafael Ramirez, Emilia Gomez, Veronica Vicente, Montserrat Puiggros, Amaury Hazan, Esteban Maestre
"... Abstract. In this paper, we describe an approach to inducing an expressive music performance model from a set of audio recordings of XVIII century bassoon pieces. We use a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation of ..."
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Abstract. In this paper, we describe an approach to inducing an expressive music performance model from a set of audio recordings of XVIII century bassoon pieces. We use a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation

Computational models of expressive music performance: The state of the art

by Gerhard Widmer, Werner Goebl - Journal of New Music Research , 2004
"... This contribution gives an overview of the state of the art in the field of computational modeling of expressive music performance. The notion of predictive computational model is briefly discussed, and a number of quantitative models of various aspects of expressive performance are briefly reviewed ..."
Abstract - Cited by 57 (6 self) - Add to MetaCart
This contribution gives an overview of the state of the art in the field of computational modeling of expressive music performance. The notion of predictive computational model is briefly discussed, and a number of quantitative models of various aspects of expressive performance are briefly

Modeling expressive music performance in jazz

by Rafael Ramirez, Amaury Hazan - In Proceedings of the Florida Artificial Intelligence Research Society Conference , 2005
"... In this paper we describe a machine learning approach to one of the most challenging aspects of computer music: mod-eling the knowledge applied by a musician when perform-ing a score in order to produce an expressive performance of a piece. We apply machine learning techniques to a set of monophonic ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
In this paper we describe a machine learning approach to one of the most challenging aspects of computer music: mod-eling the knowledge applied by a musician when perform-ing a score in order to produce an expressive performance of a piece. We apply machine learning techniques to a set

Dimensions of Emotion in Expressive Musical Performance

by Bradley W. Vines, B Carol L. Krumhansl, C Marcelo M. Wanderley
"... ABSTRACT: This paper explores the dimensions of emotion conveyed by music. Participants rated emotion terms after seeing and/or hearing recordings of clarinet performances that varied in expressive content. A factor analysis revealed four independent dimensions of emotion. Changes to the clarinetist ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
ABSTRACT: This paper explores the dimensions of emotion conveyed by music. Participants rated emotion terms after seeing and/or hearing recordings of clarinet performances that varied in expressive content. A factor analysis revealed four independent dimensions of emotion. Changes

Modeling Expressive Music Performance in Jazz

by unknown authors
"... In this paper we describe a machine learning approach to one of the most challenging aspects of computer music: modeling the knowledge applied by a musician when performing a score in order to produce an expressive performance of a piece. We apply machine learning techniques to a set of monophonic r ..."
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In this paper we describe a machine learning approach to one of the most challenging aspects of computer music: modeling the knowledge applied by a musician when performing a score in order to produce an expressive performance of a piece. We apply machine learning techniques to a set of monophonic

Affect-Driven Generation of Expressive Musical Performances

by Josep Lluis Arcos, Dolores Canamero, Josep Llu'is Arcos, Ramon Lopez de Mantaras , 1998
"... We present an extension of an existing system, called SaxEx, capable of generating expressive musical performances based on Case-Based Reasoning (CBR) techniques. In our previous work, SaxEx did not take into account the possibility of using affective labels to guide the CBR task. This paper discus ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
We present an extension of an existing system, called SaxEx, capable of generating expressive musical performances based on Case-Based Reasoning (CBR) techniques. In our previous work, SaxEx did not take into account the possibility of using affective labels to guide the CBR task. This paper

Towards an Evolution Model of Expressive Music Performance

by Qijun Zhang, Eduardo Reck Miranda
"... Abstract – This paper presents the design of representing the performance profile with hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices), and then applying Genetic Algorithm (GA) to evolve the hierarchical pulse sets for music interpretation, where the fitness of GA is der ..."
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results from an improved system where a new version of fitness rules has been devised. On basis of this system, we are proposing the next steps for the research, that is, to build a dynamic model that evolves expressive music performance through agent performers ’ interactions. Index Terms – Genetic

Multi-Agent Simulation for Generating Expressive Music Performance

by Qijun Zhang, Eduardo R. Miranda , 2008
"... This paper presents a system that implements a society of agent performers that evolve expressive music performances (EMP) through their interactions. Each agent performer evaluates a performance using a fitness function derived from the structure of the performing piece. Agents are born with diff ..."
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This paper presents a system that implements a society of agent performers that evolve expressive music performances (EMP) through their interactions. Each agent performer evaluates a performance using a fitness function derived from the structure of the performing piece. Agents are born

OntoMusic: from Scores to Expressive Music Performances

by Pere Ferrera A, Josep Puyol-gruart B, A Musicstrands Inc
"... ..."
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Abstract not found

Sense in expressive music performance: data acquisition, computational studies, and models

by Werner Goebl, Simon Dixon, Giovanni De Poli, Anders Friberg, Gerhard Widmer - Sound to Sense - Sense to Sound: A State of the Art in Sound and Music Computing , 2008
"... About this Chapter This chapter gives an introduction to basic directions of current research in expressive music performance. A special focus is given on the various meth-ods to acquire performance data either during a performance (e.g. through computer-monitored instruments) or from audio recordin ..."
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About this Chapter This chapter gives an introduction to basic directions of current research in expressive music performance. A special focus is given on the various meth-ods to acquire performance data either during a performance (e.g. through computer-monitored instruments) or from audio
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