16th AIAI 2020, 5 -7 June 2020, Greece

Greek Lyrics Generation

Orestis Lampridis, Athanasios Kefalas, Petros Tzallas

Abstract:

  This paper documents the efforts in implementing lyric generation machine learning models in the Greek language for the genre of √Čntekhno music. To accomplish this, we used three different Long Short-Term Memory Recurrent Neural Network approaches. The first method utilizes word-level bi-directional network models, the second method expands on the first by learning the word embeddings on the initial layer of the network, while the last method is based on a char-level network model. Our experimental procedure, which utilized a high sample of human judges, shows that texts of lyrics generated by our models are of high quality and are not that easily distinguishable from actual lyrics.  

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