This is a presentation on managing complexity and large size in the music composition process. It is prepared for a conference at the Istanbul State Conservatoir(former) on MArch the 8th, 2016..
Sous le feu des critiques: Trop moderne! Pas assez subversive aux yeux de certains! Pas créative! Un effet de mode passager pour les "djeunz"! Ou pire une musique de drogués!! Permettez moi au cours de cette session de vous éclairer sur cette culture et également sur les coulisses de la création des musiques assistées par ordinateur (MAO), et de voir ensemble les relations intéressantes que l'on peut tisser avec nos pratiques du développement logiciel (Software Craftsmanship).
On a pu lire quelques analogies entre pratique des musiques jazz, somme toute une musique très classique, et la pratique du développement logiciel tel que nous la concevons tous ici ("agile" diront certain). Pourtant il y a bien des façons de faire de la musique et en tant que spécialistes de la programmation j'ai été étonné de constater que peu d'entre nous s’intéressent à la musique dite "électronique". Pourtant, dans ces musiques aussi, nous nous servons d'outils logiciels au service de notre inspiration et notre créativité. On retrouve l'approche incrémentale, la technique imposée par les machines, des patterns évidemment, mais aussi de la pratique répétée, de l'amélioration continue et la coopération quand nous formons des groupes collaboratifs.
Au cours de cette session, après les généralités d'usage, je vous montrerai un DAW (digital audio workstation) logiciel, très couramment employé, et pas que pour la musique électronique, j'ai nommé "Live 9" d'Ableton avec sa surface de contrôle dédiée: Push (une sorte de clavier multi-fonctions pour la musique). Live est également extensible grâce à Max MSP, une API de programmation qui permet de scripter/patcher ce logiciel sous bien des formes.
J'espère vous montrer que création et programmation ne sont pas si éloignés que cela... et vous ferai partager mon expérience au sein de la Do It Yourself Music Academy
Machine learning for creative AI applications in music (2018 nov)Yi-Hsuan Yang
An up-to-date overview of our recent research on music/audio and AI. It contains four parts:
* AI Listener: source separation (ICMLA'18a) and sound event detection (IJCAI'18)
* AI DJ: music thumbnailing (TISMIR'18) and music sequencing (AAAI'18a)
* AI Composer: melody generation (ISMIR'17), lead sheet generation (ICMLA'18b), multitrack pianoroll generation (AAAI'18b), and instrumentation generation (arxiv)
* AI Performer: CNN-based score-to-audio generation (AAAI'19)
This is a presentation on managing complexity and large size in the music composition process. It is prepared for a conference at the Istanbul State Conservatoir(former) on MArch the 8th, 2016..
Sous le feu des critiques: Trop moderne! Pas assez subversive aux yeux de certains! Pas créative! Un effet de mode passager pour les "djeunz"! Ou pire une musique de drogués!! Permettez moi au cours de cette session de vous éclairer sur cette culture et également sur les coulisses de la création des musiques assistées par ordinateur (MAO), et de voir ensemble les relations intéressantes que l'on peut tisser avec nos pratiques du développement logiciel (Software Craftsmanship).
On a pu lire quelques analogies entre pratique des musiques jazz, somme toute une musique très classique, et la pratique du développement logiciel tel que nous la concevons tous ici ("agile" diront certain). Pourtant il y a bien des façons de faire de la musique et en tant que spécialistes de la programmation j'ai été étonné de constater que peu d'entre nous s’intéressent à la musique dite "électronique". Pourtant, dans ces musiques aussi, nous nous servons d'outils logiciels au service de notre inspiration et notre créativité. On retrouve l'approche incrémentale, la technique imposée par les machines, des patterns évidemment, mais aussi de la pratique répétée, de l'amélioration continue et la coopération quand nous formons des groupes collaboratifs.
Au cours de cette session, après les généralités d'usage, je vous montrerai un DAW (digital audio workstation) logiciel, très couramment employé, et pas que pour la musique électronique, j'ai nommé "Live 9" d'Ableton avec sa surface de contrôle dédiée: Push (une sorte de clavier multi-fonctions pour la musique). Live est également extensible grâce à Max MSP, une API de programmation qui permet de scripter/patcher ce logiciel sous bien des formes.
J'espère vous montrer que création et programmation ne sont pas si éloignés que cela... et vous ferai partager mon expérience au sein de la Do It Yourself Music Academy
Machine learning for creative AI applications in music (2018 nov)Yi-Hsuan Yang
An up-to-date overview of our recent research on music/audio and AI. It contains four parts:
* AI Listener: source separation (ICMLA'18a) and sound event detection (IJCAI'18)
* AI DJ: music thumbnailing (TISMIR'18) and music sequencing (AAAI'18a)
* AI Composer: melody generation (ISMIR'17), lead sheet generation (ICMLA'18b), multitrack pianoroll generation (AAAI'18b), and instrumentation generation (arxiv)
* AI Performer: CNN-based score-to-audio generation (AAAI'19)
This is the first of a series of analysis based on Hinton’s program. The subsequent analysis will include
2- Rbm.m and rbmhidlinear.m
3- backprop.m and mnistdisp.m
4- CG_MNIST.m
AR+S The Role Of Abstraction In Human Computer InteractionAli Rıza SARAL
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Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
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This is the first of a series of analysis based on Hinton’s program. The subsequent analysis will include
2- Rbm.m and rbmhidlinear.m
3- backprop.m and mnistdisp.m
4- CG_MNIST.m
AR+S The Role Of Abstraction In Human Computer InteractionAli Rıza SARAL
Ali Riza SARAL's presentation on the role of Abstraction in HCI based on his experiences in German Karlsruhe UIR Air Traffic Control center as a Senior Analyst Programmer
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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1. The Use of Algorithms in Music
Composition
A Case Study of my piece 'On the Edge' for Cello
By Ali Riza SARAL
April 11, 2017
2. Creativity
• wikipedia
• Creativity is a phenomenon whereby
something new and somehow valuable is
formed. The created item may be intangible
(such as an idea, a scientific theory, a musical
composition, or a joke) or a physical object
(such as an invention, a literary work, or a
painting).
3. Webster -Definition of creativity
• 1: the quality of being creative
• 2 : the ability to create
• her artistic creativity
4. Definition of create-transitive verb
• 1 : to bring into existence
• … God created the heaven and the earth. — Genesis 1:1
(AV)
• 2 a : to invest with a new form, office, or rank
• She was created a lieutenant.
• b : to produce or bring about by a course of action or
behavior
• Her arrival created a terrible fuss. create new jobs
• 3 : cause, occasion Famine creates high food prices.
• 4 a : to produce through imaginative skill
• create a painting
• b : design creates dresses
5. Definition of create-intransitive verb
• 1 : to make or bring into existence something
new
• an artist who is good at imitating but not
at creating
• 2 : to set up a scoring opportunity in
basketball
• create off the dribble
10. Direction problem
• Creativity requires direction towards creating
a being, a unity
• Currently available functions such as random()
• Does not provide direction
• Even the random function requires a seed
value to create a random number.
11. Possible solution
• Random values and other direction markers
maybe automatically produced from other
material, similar style music pieces etc.
• These have to be provided and programmed
by the human, composer.
12. MuseScore & JFugue
• I created MIDI sequences using Jfugue.
• Then I exported the outputs as MIDI files.
• I imported the MIDI files to MuseScore.
13. JFugue phase
• This corresponds to the computer creativity
phase.
• I used random functions and note lists. The
computer chooses randomly which sounds to
play.
• My role as a composer is to limit and direct
the random behaviour of the computer.
14. At the Edge for Cello
At the Edge – Cello Suite (2016) by Ali R+ SARAL
Bagatelle, Barcarolle, Rhapsody
15 min. Long
Dedicated to Daria B. from Germany
15. BAGATELLE
• Analyze Jfugue codes for music generation
• produceMusic() subroutines
• String note[]=
{"C","C#","D","D#","G","G#","A","A#","B"};
• int seriesLength=9;
• Randomly play
• noteSeq=randomInteger(1,seriesLength-1);
22. Rhapsody
• Listen Rhapsody.
• Find where computer generating is used.
• Human imitates computer and tries to find out
what could human assisted computer
creativity sound like.