Improvizing with Genetic Algorithms: GenJam

Space in the ambience: Is ambient music socially relevant?

“…Now I don't wish to suggest that the many records that have been made are in any way -including my own -misconceived, but I think I now feel that there's probably no real reason, and perhaps no real justiication, in modern performance, for going beyond that simple fact that we know: one voice, deeply intense, as a form of personal prayer. 47 In spite of his own recordings of Hildegard's music, which included both male and female ensemble singing, Page asserts the primacy of her music as a repertory for her own solo voice. In this way, as listeners, we are prepared by obvious vibrato; as Marshall has demonstrated, this sound was also one that prioritised archetypes of whiteness within an industry that arguably presented a relatively whitewashed medieval past in its marketing.…”

Fitness in evolutionary art and music: a taxonomy and future prospects

“…For example, Biles' (2007) GenJam jazz performance software uses MIDI-capture to 'listen' to a human performer, then evolves variants on what it has heard, alternating between human and computer phrases throughout an extended improvisation session. Members of the population are potential phrases to be played, and the fitness function -based on ratings by a human -can rate these differently as the performance progresses.…”

Geração De Melodias Originais Usando Algoritmos Genéticos

“…Deste modo, melodias são representadas por uma lista de elementos de altura tonal e tempo de início (η i , t i , δ i ), criando a possibilidade de qualquer valor de tempo para t i e δ i . Este modelo tem feições que são diferentes das de uma estrutura de cromossomos baseada na posição das notas, tal como em [17]. Em abordagens baseadas em posição, cada gene representa uma fração de tempo e os indivíduos têm tamanho fixo.…”