Music and computer composition

By James Anderson Moorer. 1972

Subfields: Speech & Audio

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Speech & Audio

1. Jose D. Fernández
2. Francisco J. Vico
3. Christine Payne
4. Ilya Sutskever
5. Jong Wook Kim
6. Heewoo Jun
7. Alec Radford
8. Prafulla Dhariwal

Citations in the corpus

• Jukebox: A Generative Model for Music (2020, methodology): “We have had algorithms generating piano sheet music (Hiller Jr & Isaacson, 1957; Moorer, 1972; Hadjeres et al., 2017; Huang et al., 2017), digital vocoders generating a singer’s voice (Bonada & Serra, 2007; Saino et al., 2006; Blaauw & Bonada, 2017) and also synthesizers producing timbres for…”
• A Functional Taxonomy of Music Generation Systems (2017, background): “Moorer [1972], for instance, first generates a chord sequence, then a melodic line against the sequence.”
• AI Methods in Algorithmic Composition: A Comprehensive Survey (2013, background): “…generated from a corpus of pre-existing compositions captured just local statistical similarities, and their limitations soon became apparent (Moorer, 1972): low-n Markov chains produced strange, unmusical compositions that wandered aimlessly, while high-n ones essentially rehashed musical…”