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The design of a robotic marimba player
2007
Proceedings of the 7th international conference on New interfaces for musical expression - NIME '07
Informed by an evaluation of a previously developed robotic percussionist, we present the extension of our work to melodic and harmonic realms with the design of a robotic player that listens to, analyzes ...
The paper concludes with a description of our plans to implement and embed these approaches in a robotic marimba player that will be used in workshops and concerts. ...
4, 17] , and genetic algorithms [13, 18] . ...
doi:10.1145/1279740.1279786
dblp:conf/nime/WeinbergD07
fatcat:s55njjxsnnc2vm3y76mwkklnb4
Automatic Melodic Grammar Generation For Polyphonic Music Using A Classifier System
2012
Proceedings of the SMC Conferences
Concerning the application of GA to music grammars, there is a study that uses a genetic method for generating melodic grammars [5] . ...
A classifier system (CS), used for generating grammar rules in this study, is a system that generates a set of ifthen rules by genetic algorithm (GA) [11] . ...
doi:10.5281/zenodo.850057
fatcat:khnbxdr3rfhl3dhefg4naugffm
On the Stylistic Evolution of a Society of Virtual Melody Composers
[chapter]
2015
Lecture Notes in Computer Science
An extensive validation, performed by using both quantitative and qualitative analyses, confirms that the system is able to evolve its compositional style over time. ...
The method has been extensively validated using quantitative analysis and music experts. Results suggest that the system effectively evolve its own compositional style. ...
Over 60% of the experiments have the stle of melodies converging towards a precise point of the melodic style phase space. However, before converging melodies visit small regions of the phase space. ...
doi:10.1007/978-3-319-16498-4_22
fatcat:wwkhwspdlfcsxhokjb52xedszy
Evolving Musical Counterpoint: The Chronopoint Musical Evolution System
[article]
2012
arXiv
pre-print
In this paper, a genetic algorithm approach to generating contrapuntal melodies is explained, with a description of the various musical heuristics used and of how variable-length chromosome strings are ...
used to avoid generating "jerky" rhythms and melodic phrases, as well as how subjectivity is incorporated into the algorithm's fitness measures. ...
Various genetic algorithms using the deterministic rules of first species counterpoint to objectively evaluate a given melody's fitness have been developed [1, 3] . ...
arXiv:1207.5560v1
fatcat:haukvwelizahphlvav5vyt46zm
Data-based melody generation through multi-objective evolutionary computation
2016
Journal of Mathematics and Music - Mathematical and Computational Approaches to Music Theory, Analysis, Composition and Performance
Melodic trees are also proposed as a data structure for chromosomic representation of melodies and genetic operators are adapted to them. ...
Genetic-based composition algorithms are able to explore an immense space of possibilities, but the main difficulty has always been the implementation of the selection process. ...
Supplemental online material There is an Online Supplement where the reader can find some technical details, information about the data used, generated melodies, and additional information about the developed ...
doi:10.1080/17459737.2016.1188171
fatcat:qxctbnac6nap5o75g6yosgfj4i
Probabilistic Harmonization With Fixed Intermediate Chord Constraints
2014
Proceedings of the SMC Conferences
A similar approach to the rule-based methodologies is the one followed by systems that utilize genetic algorithms (GA), like the ones shortly reviewed in the recent paper [3] and, also, in [4] . ...
The approach followed therein is equivalent to the one described in Section 3.1 (and in Equation 1), which is also used as a starting point towards the formalization of the BCHMM. ...
doi:10.5281/zenodo.850775
fatcat:ndvofffkjjgnhchfrkq2b6vpzq
Audience Evaluation and Analysis of Symphony Performance Effects Based on the Genetic Neural Network Algorithm for the Multilayer Perceptron (GA-MLP-NN)
2021
Computational Intelligence and Neuroscience
Multilayer perceptrons are combined to collect data on the audience's evaluation information; genetic neural network algorithm is used for comprehensive analysis to realize multivariate analysis and objective ...
Based on this, this article studies the audience evaluation model of teaching quality based on the multilayer perceptron genetic neural network algorithm for the data processing link in the evaluation ...
, and then the melodic information in the analysis process of different symphonic performances is divided into secondary divisions, and, through the multilayer perceptron genetic neural network algorithm ...
doi:10.1155/2021/4133892
pmid:34659391
pmcid:PMC8519685
fatcat:4d2icym5vrdw7b75umsp7ifgba
Perceptual vs. automated judgements of music copyright infringement
2020
Zenodo
Automated algorithms designed to calculate melodic and audio similarity pro-duced comparable results: both algorithms were able to match past decisions with identical accuracy of 71% (12/17 cases). ...
Analysis of cases that were difficult to classify suggests that melody, lyrics, and other factors sometimes interact in complex ways difficult to capture using quantitative metrics. ...
Savage et al. later developed a Percent Melodic Identity (PMI) method for quantifying melodic evolution based on automatic sequence alignment algorithms used in molecular genetics to measure melodic similarity ...
doi:10.5281/zenodo.4245363
fatcat:r2i4clxj5zdlnlgzlkhyjjieyy
Melodic Description of Audio Signals for Music Content Processing
2002
Zenodo
We will use this description scheme to represent melodic aspects of audio in a specific application context, the Sound Palette application, a software tool for content-based analysis and transformations ...
This review will serve to define different levels of melodic description. ...
Description: Melodic continuation system that uses genetic algorithms (GA) [115] . They use 21 melodic features as the bases for a GA fitness function and for mutation procedures. ...
doi:10.5281/zenodo.3736232
fatcat:c67m2kwsffac3huwkx7y3s4gly
Investigating affect in algorithmic composition systems
2014
Psychology of Music
This article presents an overview and summary of AAC systems and their uses. In order for a system to be considered AAC it should include some implementation of affect, usually an affective target. ...
This field has been termed affective algorithmic composition in recent work ( ...
algorithm
for generation of
musical feature
vectors
2-D model
of affect
(valence and
arousal),
musical
feature-set for
sieve based
algorithmic
composition
Genetic
algorithm
populated ...
doi:10.1177/0305735614543282
fatcat:zhnr4gvvh5fjbot34ngyunqpum
Automatic Tune Family Identification By Musical Sequence Alignment
2015
Zenodo
(i.e., notes not
tion and automated melodic similarity algorithms. ...
For all gap penalty parame-
ters we followed previous tune family research [25] in 3.2.1 Sequence alignment
using the Needleman-Wunsch alignment algorithm [17], To evaluate alignment ...
doi:10.5281/zenodo.1417134
fatcat:tkphigizpfgmpodr3ytco2fkni
Harmonic Navigator: An Innovative, Gesture-Driven User Interface for Exploring Harmonic Spaces in Musical Corpora
[chapter]
2014
Lecture Notes in Computer Science
Both GUIs use colors to indicate harmonic density based on Legname's density degree theory. ...
We present Harmonic Navigator (HN), a system for navigating and exploring harmonic spaces extracted from large musical corpora, to be used in music composition and performance. ...
The genetic algorithm is then used to explore the space of probable note combinations, as captured by the Markov model, in search of novel, yet similar melodic material. ...
doi:10.1007/978-3-319-07230-2_6
fatcat:ypr337af5femtdmvik56huizgu
Automatic Music Completion Based on Joint Optimization of Harmony Progression and Voicing
2019
Journal of Information Processing
Accounting for the mutual influence of melodic and harmonic development in music composition, the system is based on a joint model of harmony and voicing. ...
Our system searches for harmonies and melodies that adhere to music-theoretical principles, which requires extensive knowledge and practice for human composers. ...
Methods to obtain such lead sheets include genetic algorithms [14] and Markov models [15] . ...
doi:10.2197/ipsjjip.27.693
fatcat:wthsb3zjezasxgzq56vqpdlh3q
EvoComposer: An Evolutionary Algorithm for 4-voice Music Compositions
2019
Evolutionary Computation
, and the melodic objective, that is finding appropriate melodic lines. ...
Solving such a problem means finding appropriate chords to use for each input note and also find a placement of the notes within each chord so that melodic concerns are addressed. ...
obtain the weights used in the algorithm. ...
doi:10.1162/evco_a_00265
pmid:31599652
fatcat:ocfwzbtucbd5rppvmmjyo7zr5y
Evolving Performance Models By Performance Similarity: Beyond Note-To-Note Transformations
2006
Zenodo
The edit-distance cost parameters were optimized using a genetic algorithm to fit the survey results. We show in table 3 the final parameters values. ...
This is a first step towards using a larger repertoire of statistical distributions (e.g. gamma distributions, mixture of gaussians). ...
doi:10.5281/zenodo.1417690
fatcat:inej7idv6jcp7eju7smmcw6fia
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