soundscape
MediaScape
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video
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- (2.1 MB)
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During an installation of the work, audience members were able to select from different audio tracks (on headphones) while watching the work. The following 4 video clips are the same visually, taken from a recording of the live output of the generative system. However, each clip uses a different sound track for the video.
This new work builds on earlier creative experiments in metacreation and generative video by members of the Generative Media Project. The group has come together to produce an engaging work of audio-visual art in the ambient video genre.
AUME (MUMEWE)
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Exhibited at the MUMEWE as part of ISEA 2013
Sydney, Australia.
Impress: a machine learning approach to audio affect prediction
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Soundscape Composition is the artistic processing and combination of sound recordings used to trigger associations and memories in a listener. Impress was designed to predict affect of soundscapes, at interactive speeds.
Impress was motivated by the lack of any measurement tool to aid soundscape performers in eliciting intended responses from listeners.
Impress facilitates the acquisition of audio training data from real-world environments. Moreover, it was designed to provide performers autonomous indication of affect during live performance along two axes of pleasantness and eventfulness.
In[a]moment
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Production: Winnie Chung, Jackie Ho, Carol Tu
Music: Jon Bantados
Dancers: Nathan Todd, Carolyn Dones, Coco Huang
Technology systems: Miles Thorogood, Chao Feng
PIT2012. SFU Woodwards Studio D, Vancouver.
In[a]moment is an interactive and collaborative performance combining dynamic movements, motion tracking and social media. The performance explores the gestalt or “[!]” moments that occur at the intersections where the audience, performer, and space interact.
