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dc.contributor.advisorVelasco Rodríguez, Nubia Milena
dc.contributor.authorZarta Barrera, Andrés Felipe
dc.date.accessioned2022-05-06T18:19:51Z
dc.date.available2022-05-06T18:19:51Z
dc.date.issued2016
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/2051
dc.description.abstractEsta investigación tiene como propósito solucionar el problema de encontrar un “buen” bajo para acompañar una melodía y una batería, siguiendo la estructura del genero Rock Alternativo. El método de solución consta de varias etapas las cuales incluyen: determinar la tonalidad de la canción utilizando un algoritmo de Matching que compara las notas en la melodía con las notas en cada tonalidad, ajustar acordes a la melodía construyendo un grafo de posibles progresiones y encontrando la ruta mas corta en este, improvisar bajos usando estos acordes como guía utilizando el algoritmo “Stochastic Diffusion Search”. Las soluciones deben satisfacer una serie de restricciones mientras se maximiza la calidad del sonido medida usando dos criterios diferentes.spa
dc.description.abstractThis research proposes a solution to the problem of finding a “good” bassline to accompany a melody and a drumbeat following the structure of the alternative rock genre. The solution method is made up of different steps which include: determining the key of the song by using a matching algorithm that compares the notes in the melody with the notes in each key, fitting chords to the melody by constructing a graph of possible progressions using candidate chords selected through a matching algorithm and finding the shortest path in it, improvising basslines using these chords as guidelines through the use of stochastic diffusion search algorithm. Solutions must satisfy constraints regarding their relationship with the drumbeat and the melody while maximizing the quality of the overall sound measured with two independent criteria.eng
dc.format.extent14 páginas.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherUniandesspa
dc.sourcehttps://repositorio.uniandes.edu.co/handle/1992/13894?show=fullspa
dc.titleBassline composition for alternative rock using SP and SDS algorithms, a multi-objective approacheng
dc.typeTrabajo de grado - Maestríaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.corporatenameUniversidad de los Andesspa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ingeniería Industrialspa
dc.publisher.facultyFacultad de Ingenieríaspa
dc.publisher.placeBogotá D.C.spa
dc.publisher.programMaestría en Ingeniería Industrialspa
dc.relation.indexedN/Aspa
dc.relation.referencesAlfonseca, M., Cebrián, M., & Ortega, A. (2007). A Simple Genetic Algorithm for Music Generation by means of Algorithmic Information Theory. IEEE Congress on Evolutionary Computation .spa
dc.relation.referencesBassinplace. (1 de December de 2008). The kick drums relation to the bass? TalkBass Forums.spa
dc.relation.referencesDostál, M. (2005). GENETIC ALGORITHMS AS A MODEL OF MUSICAL CREATIVITY – ON GENERATING OF A HUMAN-LIKE RHYTHMIC ACCOMPANIMENT. olomouc: Palack ́y University .spa
dc.relation.referencesDubnov, S., Assayag, G., Lartillot, O., & Bejerano, G. (2003). Using Machine-Learning Methods for Musical Style Modeling. IEEE Computer Society.spa
dc.relation.referencesGeem, Z., & Choi, J.-Y. (2007). Music Composition Using Harmony Search Algorithm. Springer.spa
dc.relation.referencesHerremans , D., Weisser, Sorensen, K., & Conklin. (2015). Generating structured music for bagana using quality metrics based on Markov models. ELSEVIER.spa
dc.relation.referencesHerremans, D., & Sorensen, K. (2013). Composing fifth species counterpoint music with a variable neighborhood search algorithm. Antwerp: ELSEVIER.spa
dc.relation.referencesHerremans, D., Martens, D., & Sorensen, K. (2014). Dance Hit Song Prediction. Antwerp: ANT/OR.spa
dc.relation.referencesKunimatsu, K., Ishikawa, Y., Takata, M., & Joe, K. (2015). A Music Composition Model with Genetic Programming –A Case Study of Chord Progression and Bassline-. Nara.spa
dc.relation.referencesLaine, P., & Kuuskankare, M. (1994). Genetic Algorithms in Musical Style oriented Generation. Helsinki: Sibelius Acadmy Computer Music Studio.spa
dc.relation.referencesLichtenwalter, R., Zorina, K., & Chawla, N. (2008). Applying Learning Algorithms to Music Generation.spa
dc.relation.referencesLópez-Ortega, O., & López-Popa, S. I. (2012). Fractals, fuzzy logic and expert systems to assist in the construction of musical pieces . Hidalgo: ELSEVIER.spa
dc.relation.referencesLozano, L., Medaglia, A., & Velasco, N. (2009). Generation of Pop-Rock Chord Sequences Using Genetic Algorithms and Variable Neighborhood Search. Bogotá: Springer.spa
dc.relation.referencesMajid Al-Rifaie, A., & Majid Al-Rifaie, M. (2015). Generative Music with Stochastic Diffusion Search. London: SpringerLink.spa
dc.relation.referencesRen, T., Wang, Y.-f., Du, D., Liu, M.-m., & Siddiqi, A. (2015). The guitar chord-generating algorithm based on complex network. Shenyang: ELSEVIER.spa
dc.relation.referencesTojui, N., & Iba, H. (2000). Music Composition with Interactive Evolutionary Computation. Tokyo.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.subject.armarcAlgoritmos de grafosspa
dc.subject.armarcGraph algorithmseng
dc.subject.armarcSistemas estocásticosspa
dc.subject.armarcProcesos estocásticosspa
dc.subject.armarcStochastic processeseng
dc.subject.armarcStochastic systemseng
dc.subject.proposalTeoría de grafos - Investigacionesspa
dc.subject.proposalAcordes - Algoritmos - Investigacionesspa
dc.subject.proposalAnálisis estocástico - Investigacionesspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa


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