GMU:My Computer, Max, and I/Pedro Ramos/Neurosynthesizer (Human-Machine Feedback): Difference between revisions

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From there, an interest to work with the concept of interconnected so called ''Neurons'' to create a Neurosynthesizer out of such system, although a rather simplified one, showed itself an interesting space for the exploration of the Affective possibilities on developing a feedback system with audio synthesis activated by signals from the human body and its response after the process of machine learning, outputting another possibilities out of the first audio synthesis. In this feedback system, both the Human agent and the responsive Machine agent are interconnected and generate a feedback cycle between each other.
From there, an interest to work with the concept of interconnected so called ''Neurons'' to create a Neurosynthesizer out of such system, although a rather simplified one, showed itself an interesting space for the exploration of the Affective possibilities on developing a feedback system with audio synthesis activated by signals from the human body and its response after the process of machine learning, outputting another possibilities out of the first audio synthesis. In this feedback system, both the Human agent and the responsive Machine agent are interconnected and generate a feedback cycle between each other.


[[File:Diagrams_Neurosynth_01.JPG|400px]]
[[File:Diagrams_Neurosynth_01.JPG]]


A rather contemporary issue, I’m interested in the potential opportunities and challenges on music creation with Artificial Intelligence - the interconnection between human (s) and technological agent (s). As a time efficient solution, instead of developing the system from scratch, the use of a stand-alone technology demonstrated to be a reasonable alternative. Although up to some level a Black Box, Wekinator, a software developed for the use of Machine Learning for Creative Appliances, seemed a good alternative for exploring creatively a connection between Max/MSP and Machine Learning.  
A rather contemporary issue, I’m interested in the potential opportunities and challenges on music creation with Artificial Intelligence - the interconnection between human (s) and technological agent (s). As a time efficient solution, instead of developing the system from scratch, the use of a stand-alone technology demonstrated to be a reasonable alternative. Although up to some level a Black Box, Wekinator, a software developed for the use of Machine Learning for Creative Appliances, seemed a good alternative for exploring creatively a connection between Max/MSP and Machine Learning.  


In this framework, the human agent is intended to emit signs from its body, which will be processed through sound synthesis and consist on a Neuron of the system. The synthesis is developed from sine wave oscillators, envelopes and sound effects. The same signals are received by the technological agent, which are processed and sent back to Max MSP after the Machine Learning. The intercommunication happening between the human-technological agents through the music created out of this feedback cycle is the main interest of the work, that is currently developed as an investigation of the affective reaction between human and a technological agent for music creation and the use of AI as a creative tool for music creation.
In this framework, the human agent is intended to emit signs from its body, which will be processed through sound synthesis and consist on a Neuron of the system. The synthesis is developed from sine wave oscillators, envelopes and sound effects. The same signals are received by the technological agent, which are processed and sent back to Max MSP after the Machine Learning. The intercommunication happening between the human-technological agents through the music created out of this feedback cycle is the main interest of the work, that is currently developed as an investigation of the affective reaction between human and a technological agent for music creation and the use of AI as a creative tool for music creation.
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