AMI: Algorithmic Music Interface

Authors

DOI:

https://doi.org/10.5216/mh.v24.78922

Keywords:

algorithmic music, Max for Live, sequence classification, computer assisted composition.

Abstract

Abstract: In Latin America, the practice of algorithmic composition has famous representatives such as the Argentine Horacio Vaggione or the Mexican Julio Estrada. However, there is not much history of software or computer tools created for this purpose. AMI (algorithmic music interface) is a tool developed within the Max for Live environment that allows, not only to generate lists of symbolic data in an algorithmic way but also to classify these sequences to obtain a list of relationships or similarities that the composer can use as a suggestion for the chaining of musical parts.

Downloads

Download data is not yet available.

Author Biographies

Francisco Colasanto, Universidad Nacional Autónoma de México, Morelia, México, fcolasanto@enesmorelia.unam.mx

Francisco Colasanto is a composer born in Argentina in 1971.Studied composition at Universidad Nacional de Quilmes.Francisco finished his PhD thesis at the UNAM with Dr. Rodrigo Sigal Sefchovich as a tutor.Since 1996 is a very active composer specialized in music technology. Lives in Mexico since 2006.,He was awarded with the following distinctions:  Cultural Ministry of Spain (2000), Fundación Antorchas (2003), Cultural Ministry of Spain (2006), Harvard University Studio for Electroacoustic Composition (Live Electronic Music Competition 2006), Juan Carlos Paz Prize (2004) granted by the Fondo Nacional de las Artes Argentina, Giga-Hertz award 2009 (ZKM, Karlsruhe, Germany), Ibermúsicas 2013, FONCA: Fomento y coinversiones 2018mHe is currently assistant director of the Mexican Centre for Music and Sonic Arts (CMMAS) located in the City of Morelia, México and full time academic at ENES-UNAM.mHe composed music for several projects (dance, theatre, installations, movies, commercials).mIs the author of the book: “Max/MSP: guía de programación para artistas” and Max Certified Trainer.

Rodrigo Sigal, Escuela Nacional de Estudios Superiores Morelia, México, rodrigo@cmmas.org

Jorge Rodrigo Sigal Sefchovich ​(Mexico City - 1971). Composer, cultural manager and full time professor since 2017 at ENES, UNAM, Morelia, where he co-founded the Music and Artistic Technology undergraduate program (www.enesmorelia.org). Interested in new technologies especially in the electroacoustic music field. Since 2006, Sigal has been the director of the Mexican Centre for Music and Sonic Arts (www.cmmas.org) where he coordinates numerous initiatives of creation, education, research and cultural management in relation to sound and music. He earned a doctorate degree from the London City University and completed his postdoctoral studies at UNAM. He has a diploma in cultural management from the UAM-BID and has continued his studies and creative projects with the help from various scholarships and support from institutions like Fulbright, FONCA (SNCA member 2011-18), Pride C (UNAM) and the DeVos Foundation for cultural management, among others. He is  a member of the National Researchers System Level 1 from Conacyt and for 20 years he has taken part in the Luminico project (www.luminico.org), he is the director of the “Visiones Sonoras” festival (www.visionessonoras.org) and editor of “Sonic Ideas” journal (www.sonicideas.org).

Published

2024-09-13 — Updated on 2024-10-24

Versions

How to Cite

COLASANTO, F.; SIGAL SEFCHOVICH, J. R. AMI: Algorithmic Music Interface. MUSICA HODIE, Goiânia, v. 24, 2024. DOI: 10.5216/mh.v24.78922. Disponível em: https://revistas.ufg.br/musica/article/view/78922. Acesso em: 19 dec. 2024.

Issue

Section

Artigos