Repository of University of Nova Gorica

Search the repository
A+ | A- | Help | SLO | ENG

Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 10 / 13
First pagePrevious page12Next pageLast page
1.
Hell thunders : how sound influences the film narrative
Milan Bajčetić, 2024, master's thesis

Abstract: This master thesis deals with the theoretical and practical part of my short film “Hell Thunders”. In the theoretical part, the topic is about the usage of sound and how it influences the understanding of the film narrative, where my film was used as an example. In the practical part, I will describe the process behind the pre-production phase, where I will also explain how and why I made specific sound choices that helped create the film.
Keywords: film, sound, music, narrative, information, metaphor
Published in RUNG: 09.10.2024; Views: 476; Downloads: 7
.pdf Full text (11,12 MB)
This document has many files! More...

2.
Dreamer : live coding, algorave and the artistic exploration of dreams
Lazar Mihajlović, 2024, master's thesis

Abstract: Observing the developments and intersections between music, graphics, video, code and club culture in the music scene around the year 2010, primarily based in England, a new cultural movement known as ”Algorave” has emerged, reshaping the boundaries of new artistic expression. While the practices of live and creative coding had been present on the global stage for some time, the “Algorave” scene emerges as a unique blend of these artistic directions, combining various elements and offering a distinctive sound-visual artistic expression. Unlike traditional music performances, artists of this movement openly share their live coding processes with the audience, guiding them through the entire process of the performance. By utilizing live coding as the primary artistic tool and integrating it with artificial intelligence, the work Dreamer demonstrates a fusion of these two approaches. It visually explores dreams using images generated by AI technology. These images are then manipulated through live coding techniques, creating a visual narrative that is accompanied by ambient-electronic sounds. The sound complements the visual elements, achieved through the use of various synthesizers, samplings and granular synthesis, a technique that fragments sound into small grains to create complex sound textures. Beyond its practical execution, Dreamer addresses dreams as something unknown and undisclosed. It raises the question of whether dreams can be considered insights into our parallel lives, or are they merely products of our imagination? Should we explore them rather than just observe them? Based on these questions, the work examines dreams through programming and technology, seeking new possibilities for artistic expression.
Keywords: code, sound, algorithm, visual art, algorave, technology, master's thesis
Published in RUNG: 03.10.2024; Views: 465; Downloads: 5
.pdf Full text (2,90 MB)
This document has many files! More...

3.
Can you feel it : exploration of anxiety through artistic practices
Tamara Kostrevc, 2024, master's thesis

Abstract: Anxiety is described in psychiatry as a mental disorder that manifests itself in an unpleasant state of excitement, tension due to a sense of threat, fear without a real external reason. This short definition does not cover its many forms. Given that anxiety is present all over the world, and that almost everyone experiences it nowadays, it would be necessary and important to talk more about it. Can You Feel It is an installation that visually and sonically illustrates the levels of anxiety and encompasses both the mental and physical changes an individual experiences. It illustrates the battle with this psychological condition through the artistic practice of an interactive audiovisual installation.
Keywords: anxiety, interactive installation, sound elements, visuals, pulse sensor
Published in RUNG: 03.10.2024; Views: 442; Downloads: 6
.pdf Full text (1,98 MB)
This document has many files! More...

4.
5.
Bodies of noise at the Bell Laboratories : early automated speech recognition, contribution at the Editorial Workshop - A Special Issue on Acoustic Space, November 9-10, 2022, Frankfurt/Main
Eszter Polónyi, 2022, other performed works

Abstract: This paper is about the first automated systems developed to recognize identity. While automated recognition in the twenty-first century is widely associated with images of the human face, its roots are to be found in attempts to visualize identity in other, non-figural types of trace left by human bodies, ranging as widely as shadows, astrological signs, handwriting, the prints left by palms and fingers and the acoustics of the human voice. This paper investigates one such system of recognition as it emerged from within the telecommunications industry context in the midcentury U.S. Ostensibly built to reduce human labor and cable bandwidth, Bell Labs developed three different phone devices in the 1950s to photograph, formalize and analyze the sounds of speech as they traveled through the telephony system. And while the device called “Audrey” indeed succeeded in recognizing spoken digits, it was its failure to recognize the speech contents without prior awareness of the identity of the speaker, that is to distinguish between the individuality of the speaking “medium” and their intended meaning, that arguably made the experiment a landmark in the history of machine-driven recognition. Accounting for the “noise” made by the body and the environment from which sound emanated into the device, which the lab’s technicians defined as ranging from “speech defects” to “inflection” and “background interference” proved more important than phonetic analysis in determining the intended message of given speech spectogram. Similarly to a range of experiments with noise by formalist filmmakers such as Tony Conrad, John Cage, Kurt Kren and others, it was on the principle of contingency and irreproducible uniqueness that Bell Lab technicians sought to train machine-driven intelligence.
Keywords: History of computer science, machine learning, Bell Labs, history of telecommunications, sound studies
Published in RUNG: 19.02.2024; Views: 1344; Downloads: 8
.pdf Full text (31,80 MB)

6.
7.
8.
Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation
Mohanachandran Nair Sindhu Swapna, RAJ VIMAL, RENJINI A, SREEJYOTHI S, SANKARARMAN S, 2020, original scientific article

Abstract: The development of novel digital auscultation techniques has become highly significant in the context of the outburst of the pandemic COVID 19. The present work reports the spectral, nonlinear time series, fractal, and complexity analysis of vesicular (VB) and bronchial (BB) breath signals. The analysis is carried out with 37 breath sound signals. The spectral analysis brings out the signatures of VB and BB through the power spectral density plot and wavelet scalogram. The dynamics of airflow through the respiratory tract during VB and BB are investigated using the nonlinear time series and complexity analyses in terms of the phase portrait, fractal dimension, Hurst exponent, and sample entropy. The higher degree of chaoticity in BB relative to VB is unwrapped through the maximal Lyapunov exponent. The principal component analysis helps in classifying VB and BB sound signals through the feature extraction from the power spectral density data. The method proposed in the present work is simple, cost-effective, and sensitive, with a far-reaching potential of addressing and diagnosing the current issue of COVID 19 through lung auscultation.
Keywords: Breath sound analysis, Fractal dimension, Nonlinear time series analysis, Sample entropy, Hurst exponent, Principal component analysis
Published in RUNG: 28.06.2022; Views: 2463; Downloads: 0
This document has many files! More...

9.
When art gets more rigorous than science
2020, radio or television broadcast, podcast, interview, press conference

Keywords: research, ethics, bioart, anthropocene, methodologies, mixed research, temporal community, learning by sharing, sonic film, sound art
Published in RUNG: 25.02.2021; Views: 3323; Downloads: 25
URL Link to full text

10.
Algorithms matter and one should better understand them
2020, radio or television broadcast, podcast, interview, press conference

Keywords: algorithm, programming, technology, languages, sonic arts, sound, contemporary art
Published in RUNG: 23.02.2021; Views: 2835; Downloads: 29
URL Link to full text

Search done in 0.04 sec.
Back to top