This paper presents SonaGraph, a framework and an ap- plication for a simplified but efficient harmonic spectrum analyzer suitable for assisted and algorithmic composition. The model is inspired by the analog Sonagraph and relies on a constant-Q bandpass filter bank. First, the historical Sonagraph is introduced, then, starting from it, a simplified (“cartoonified”) model is discussed. An implementation in SuperCollider is presented that includes various utilities (interactive GUIs, music notation generation, graphic ex- port, data communication). A comparison of results in re- lation to other tools for assisted composition is presented. Finally, some musical examples are discussed, that make use of spectral data from SonaGraph to generate, retrieve and display music information.

SONAGRAPH. A CARTOONIFIED SPECTRAL MODEL FOR MUSIC COMPOSITION

Andrea Valle
2019-01-01

Abstract

This paper presents SonaGraph, a framework and an ap- plication for a simplified but efficient harmonic spectrum analyzer suitable for assisted and algorithmic composition. The model is inspired by the analog Sonagraph and relies on a constant-Q bandpass filter bank. First, the historical Sonagraph is introduced, then, starting from it, a simplified (“cartoonified”) model is discussed. An implementation in SuperCollider is presented that includes various utilities (interactive GUIs, music notation generation, graphic ex- port, data communication). A comparison of results in re- lation to other tools for assisted composition is presented. Finally, some musical examples are discussed, that make use of spectral data from SonaGraph to generate, retrieve and display music information.
2019
16th Sound and Music Computing Conference (SMC2019)
Malaga
28-31 May 2019
Proceedings of the 16th Sound & Music Computing Conference
SMC
462
469
978-84-09-08518-7
Sonagraph, Spectral analysis, assisted composition
Andrea Valle
File in questo prodotto:
File Dimensione Formato  
smc_2019_078.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 6.59 MB
Formato Adobe PDF
6.59 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1714276
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact