Notes from (art) Song Lab: A Generative Model for Song Collaborations

Abstract: Song collaborations are a mainstay for pianists who work in vocal repertoire. Those experiences are foundational for exploring singer-pianist relationships, but they rarely address the relationships with composers or text authors. There are few reference materials for composer-performer collaborations, and none that document the triangular connections between composers, poets, and performers. In June 2024, (art) Song Lab celebrated its thirteenth year of fostering these collaborations. This column explores the how and why of these creative combinations, with analysis of new approaches to productive communication, augmented musicianship, and healthy respect for the creative integrity among all participants.

Authors

Publication Details

Journal
Journal of Singing
Published
2024-10-16
DOI
https://doi.org/10.53830/sing.00085
Primary Topic
Diverse Musicological Studies
Type
article
Field-Weighted Citation Impact
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article

Notes from (art) Song Lab: A Generative Model for Song Collaborations

Alison d’Amato
Journal of Singing
Diverse Musicological Studies
article

Notes from (art) Song Lab: A Generative Model for Song Collaborations

Alison d’Amato
article en

Abstract

Abstract: Song collaborations are a mainstay for pianists who work in vocal repertoire. Those experiences are foundational for exploring singer-pianist relationships, but they rarely address the relationships with composers or text authors. There are few reference materials for composer-performer collaborations, and none that document the triangular connections between composers, poets, and performers. In June 2024, (art) Song Lab celebrated its thirteenth year of fostering these collaborations. This column explores the how and why of these creative combinations, with analysis of new approaches to productive communication, augmented musicianship, and healthy respect for the creative integrity among all participants.

Journal of SingingVol. 81(2)
Openalex Percentile: Top 77%
Diverse Musicological Studies
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Notes from (art) Song Lab: A Generative Model for Song Collaborations — Alison d’Amato · Journal of Singing (2024) | TGRS Research Map | TGRS