Naazneen Barma

Naazneen Barma

Associate Professor of National Security Affairs; 2019-2020 Berggruen Fellow

Biography

Naazneen H. Barma is Director of the Doug and Mary Scrivner Institute of Public Policy, Scrivner Chair, and Associate Professor at the Josef Korbel School of International Studies at the University of Denver.She is also one of the founders and a co-director of Bridging the Gap, an initiative devoted to enhancing the policy impact of contemporary international affairs scholarship. Her research has spanned topics including peacebuilding, foreign aid, natural resource politics, and global governance, with a regional focus on Southeast Asia and the Pacific. She is author of The Peacebuilding Puzzle: Political Order in Post-Conflict States (Cambridge University Press, 2017). As a 2019–2020 Berggruen Fellow, Naazneen will work on a collaborative project that aims to develop a 21st century-appropriate roadmap for constructing an international architecture to advance global liberalism


composed by Arswain
machine learning consultation by Anna Tskhovrebov
commissioned by the Berggruen Institute
premiered at the Bradbury Building
downtown Los Angeles
april 22, 2022

Human perception of what sounds “beautiful” is necessarily biased and exclusive. If we are to truly expand our hearing apparatus, and thus our notion of beauty, we must not only shed preconceived sonic associations but also invite creative participation from beings non-human and non-living. We must also begin to cede creative control away from ourselves and toward such beings by encouraging them to exercise their own standards of beauty and collaborate with each other.

Movement I: Alarm Call
‘Alarm Call’ is a long-form composition and sound collage that juxtaposes, combines, and manipulates alarm calls from various human, non-human, and non-living beings. Evolutionary biologists understand the alarm call to be an altruistic behavior between species, who, by warning others of danger, place themselves by instinct in a broader system of belonging. The piece poses the question: how might we hear better to broaden and enhance our sense of belonging in the universe? Might we behave more altruistically if we better heed the calls of – and call out to – non-human beings?

Using granular synthesis, biofeedback, and algorithmic modulation, I fold the human alarm call – the siren – into non-human alarm calls, generating novel “inter-being” sonic collaborations with increasing sophistication and complexity. 

Movement II: A.I.-Truism
A synthesizer piece co-written with an AI in the style of Vangelis’s Blade Runner score, to pay homage to the space of the Bradbury Building.

Movement III: Alarmism
A machine learning model “learns” A.I.Truism and recreates Alarm Call, generating an original fusion of the two.

Movement IV: A.I. Call
A machine learning model “learns” Alarm Call and recreates A.I.Truism, generating an original fusion of the two.


RAVE (IRCAM 2021) https://github.com/acids-ircam/RAVE