Artificial Irrelevance

Authors

John Snelgrove

Files

Abstract

Artificial Irrelevance tackles the difficult task of writing song lyrics. The project explores the relationship between an author and his tools, and ultimately culminates in a long short-term memory (LSTM) recurrent neural network algorithm for generating song lyrics, and an EP of folk songs co-written with the algorithm.

Publication Date

7-1-2017

Campus

Valencia (Spain) Campus

Project Components

Project Components: one project video (.mp4), one report (.pdf), one video presentation (.m4v), one EP (one ZIP file containing four .wav files), one application (ZIP file).

Recommended Citation

Snelgrove, John. “Artificial Irrelevance.” Master's thesis, Berklee College of Music, 2017. https://remix.berklee.edu/graduate-studies-production-technology/85.