Artists Statement

PandorBird: Identifying the Types of Music That May Be Favored by Our Avian Co-Inhabitants is an interactive outdoor installation that uses computer vision and interactive software to track and then play the music choices made by wild song- birds. This mobile learning system uses a novel algorithm for species identification, plays avian-favored human music, and builds a database of the musical compositions preferred by local feeder birds. Offerings in each genre of music will be chosen using standard criteria from web-based “music-discovery services,” such as melody, harmony, rhythm, form, and composition. [source Vimeo]

• Elizabeth Demaray, USA elizabethdemaray.org/about
• dr. Ahmed Elgammal, USA aiartists.org/ahmed-elgammal

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