SEMB-003

Impress: a machine learning approach to audio affect prediction

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description

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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SEMB 003: Interdisc. Forums Seminar

SEMINAR FOR - AHIS 333, Interdisciplinary Forums

These are one hour Seminars for students taking AHIS 333, Interdisciplinary Forums. Students will be assigned to a SEMB 003 by Student Services. These seminars run after the Lectures, some students may be assigned to a seminar that runs into the next timeblock.

Number of Credits: 
0.00
Repeatable for Credit: 
No
Sections: 

There are no upcoming course sections for this course.

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