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Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Reflecting on Reflections - June 2014
AES Engineering Briefs Forum
Prediction of Valence and Arousal from Music Features
Mood is an important attribute of music, and knowledge on mood can be used as a basic ingredient in music recommender and retrieval systems. Moods are assumed to be dominantly determined by two dimensions: valence and arousal. An experiment was conducted to attain data for song-based ratings of valence and arousal. It is shown that subject-averaged valence and arousal can be predicted from music features by a linear model.
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