[ISEA2019] Poster: SJeong Choi, Chaelin Park, Halla Kim, Wonil Kim & Juhan Nam — MeloDraw: A System for Melodic Contour Search from Embedded Space Using Line Drawings

Poster Statement

Abstract

MeloDraw is an online application that automatically searches melody contours similar to user’s line drawing input. The input drawing is converted into a melodic contour based on predefined rules and the melodic contour is then passed to the melody proposal model as a query to find similar melodies. The model has a bi-directional RNN autoencoder architecture trained with 15,313 melodic contours from 1,035 British folk songs to learn the melody embedding space. Most similar melodies given the query are searched on the embedding space. We implemented the system as a web-based application so that anyone can easily access to it.

  • Jeong Choi, Chaelin ParkWonil Kim & Juhan Nam, Music and Audio Computing Lab., GSCT, KAIST, Daejeon, Korea
  • Halla Kim, The Cultural Complexity and Network Science Group, GSCT, KAIST
    Daejeon, Korea

Full text (PDF) p. 656-657