Superpang’s trawl of the electronic underground arrives at Italian noise sculptor and hyper-sampler Franz Rosati and his fine grained, amorphous organisms ranging from sweeping post-rock ambient scapes to pulsating post-industrialism and pebbledash roil...
“Vivarium I is a collection of compositions created by exploiting the sound materials produced for the audiovisual projects Latentscape, Distantia, while seeking different and autonomous expressive solutions from the visual apparatus and workflow.
The name of the work is a simple reference to the idea of traversing one's own sound archive like a vivarium, touching, exploring, and absorbing the essence of sounds that are often forgotten but are infused with memories. They carry with them like aural seals, desires, impulses, and emotions belonging to the moment they were created.
All sounds are hypersampled, utilizing techniques such as Granular Mosaicing and Machine Learning tools like FactorSynth, as well as Auto Encoders or Recursive Neural Networks such as RAVE nn~, SampleRNN. The author trained these models with collected and refined datasets.”
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Superpang’s trawl of the electronic underground arrives at Italian noise sculptor and hyper-sampler Franz Rosati and his fine grained, amorphous organisms ranging from sweeping post-rock ambient scapes to pulsating post-industrialism and pebbledash roil...
“Vivarium I is a collection of compositions created by exploiting the sound materials produced for the audiovisual projects Latentscape, Distantia, while seeking different and autonomous expressive solutions from the visual apparatus and workflow.
The name of the work is a simple reference to the idea of traversing one's own sound archive like a vivarium, touching, exploring, and absorbing the essence of sounds that are often forgotten but are infused with memories. They carry with them like aural seals, desires, impulses, and emotions belonging to the moment they were created.
All sounds are hypersampled, utilizing techniques such as Granular Mosaicing and Machine Learning tools like FactorSynth, as well as Auto Encoders or Recursive Neural Networks such as RAVE nn~, SampleRNN. The author trained these models with collected and refined datasets.”
Superpang’s trawl of the electronic underground arrives at Italian noise sculptor and hyper-sampler Franz Rosati and his fine grained, amorphous organisms ranging from sweeping post-rock ambient scapes to pulsating post-industrialism and pebbledash roil...
“Vivarium I is a collection of compositions created by exploiting the sound materials produced for the audiovisual projects Latentscape, Distantia, while seeking different and autonomous expressive solutions from the visual apparatus and workflow.
The name of the work is a simple reference to the idea of traversing one's own sound archive like a vivarium, touching, exploring, and absorbing the essence of sounds that are often forgotten but are infused with memories. They carry with them like aural seals, desires, impulses, and emotions belonging to the moment they were created.
All sounds are hypersampled, utilizing techniques such as Granular Mosaicing and Machine Learning tools like FactorSynth, as well as Auto Encoders or Recursive Neural Networks such as RAVE nn~, SampleRNN. The author trained these models with collected and refined datasets.”
Superpang’s trawl of the electronic underground arrives at Italian noise sculptor and hyper-sampler Franz Rosati and his fine grained, amorphous organisms ranging from sweeping post-rock ambient scapes to pulsating post-industrialism and pebbledash roil...
“Vivarium I is a collection of compositions created by exploiting the sound materials produced for the audiovisual projects Latentscape, Distantia, while seeking different and autonomous expressive solutions from the visual apparatus and workflow.
The name of the work is a simple reference to the idea of traversing one's own sound archive like a vivarium, touching, exploring, and absorbing the essence of sounds that are often forgotten but are infused with memories. They carry with them like aural seals, desires, impulses, and emotions belonging to the moment they were created.
All sounds are hypersampled, utilizing techniques such as Granular Mosaicing and Machine Learning tools like FactorSynth, as well as Auto Encoders or Recursive Neural Networks such as RAVE nn~, SampleRNN. The author trained these models with collected and refined datasets.”