Recordings with CHROMA

This November, recordings of the piece Dégradé will take place in London with the wonderful CHROMA Ensemble, conducted by Christopher Austin. This recording will also be part of an upcoming CD to be announced soon.

Here is a photo taken before the recording session at Goldsmiths Music Studios:

Left to right, back to front: Eloisa-FLeur Thom (violin), Kathryn Thomas (flute), Stuart King (clarinet), Zoë Martlew (cello), Roderick Chadwick (piano), Gonçalo Gato (composer), Christopher Austin (conductor). Photo by Claire Shovelton.

Recordings with ensemble recherche

In December, two pieces will be recorded by the wonderful ensemble recherche at the Ensemblehaus, in Freiburg. The first piece is called A Walk in the Countryside, which was premiered by Martin Fahlenbock (Recherche’s flutist) back in 2016. The second piece is called Elementos, for piano trio, and was premiered by Trio Adamastor at Casa da Música in 2018.

Here are some photos from the recording session:

Åsa Åkerberg (cello), Moritz Bergfeld (engineer), Klaus Steffes-Holländer (piano), Gonçalo Gato (composer) and Melise Mellinger (violin).

Recordings at Casa da Música

Pianist Alexander Soares and recording engineer Hugo Romano Guimarães joined me at Casa da Música in late July 2019 to record the piece NowState, premiered last January at the Southbank Centre. Among other pieces, it will feature on a CD, the details of which will follow as soon as the project becomes more consolidated. Here are some pictures from the session at the wonderful Sala Suggia (Casa’s main concert hall), taken by photographer Vitorino Coragem. I deeply thank António Jorge Pacheco, Júlio Moreira and all at Casa da Música management for this wonderful opportunity.

Alexander Soares, Gonçalo Gato, Hugo Romano Guimarães

Doctoral thesis

Algorithm and Decision in Musical Composition (2016)

PDF file (click to download)
Attached Algorithms CD-ROM (click to download the ZIP file)

City University London digital publication: City Research Online

Abstract

Through a series of creative projects this doctorate set out to research how computer-assisted composition (CAC) of music affects decision-making in my compositional practice. By reporting on the creative research journey, this doctorate is a contribution towards a better understanding of the implications of CAC by offering new insights into the composing process. It is also a contribution to the composition discipline as new techniques were devised, together with new applications of existing techniques.

Using OpenMusic as the sole programming environment, the manual/machine interface was explored through different balances between manual and algorithmic composition and through aesthetic reflection guiding the composing process. This helped clarify the purpose, adequacy and nature of each method as decisions were constantly being taken towards completing the artistic projects.

The most suitable use of algorithms was as an environment for developing, testing, refining and assessing compositional techniques and the music materials they generate: a kind of musical laboratory. As far as a technique can be described by a set of rules, algorithms can help formulate and refine it. Also capable of incorporating indeterminism, they can act as powerful devices in discovering unforeseen musical implications and results.

Algorithms alone were found to be insufficient to simulate human creative thought because aspects such as (but not limited to) imagination, judgement and personal bias could only, and hypothetically, be properly simulated by the most sophisticated forms of artificial intelligence. Furthermore, important aspects of composition such as instrumentation, articulation and orchestration were not subjected to algorithmic treatment because, not being sufficiently integrated in OpenMusic currently, they would involve a great deal of knowledge to be specified and adapted to computer language (1). These shortcomings of algorithms, therefore, implied varying degrees of manual interventions to be carried out on raw materials coming out of their evaluations. A combination of manual and algorithmic composition was frequently employed so as to properly handle musical aspects such as cadence, discourse, monotony, mechanicalness, surprise, and layering, among others. The following commentary illustrates this varying dialogue between automation and intervention, placing it in the wider context of other explorations at automating aspects of musical composition.


1 The most developed current algorithmic software for orchestration is Orchids (Esling et al. 2014), developed at IRCAM during the same period as this research. “It provides a set of algorithms and features to reconstruct any time-evolving target sound with a combination of acoustic instruments, given a set of psychoacoustic criteria”. It, thus, serves the specific purpose of orchestrating a target sound that is fed into it.


This doctoral research was carried out at the Guildhall School of Music and Drama (London, UK), supervised by Prof. Julian Anderson and co-supervised by Prof. Paul Newland. It was funded by the Portuguese Foundation for Science and Technology (FCT – Fundação para a Ciência e Tecnologia) with funds from the POPH (Programa Operacional Potencial Humano) and Fundo Social Europeu (European Union).

Barra de assinaturas Bolsa FCT