AI

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.

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