Algorithmic composition refers to the process of composing a melody automatically using algorithms. A bulk of methods have been proposed for this task. Among them, a novel idea is to utilize the correlation information between the pitches of melodies and the tones of lyrics for melody composition. Unfortunately, the existing method adopting this idea suffers from several severe shortcomings and thus the merits of the above idea are not fully utilized. In this paper, we propose a new technique to capture the above correlation information based on the concepts of pitch trends and tone trends. Based on this technique, we design a new algorithm called Trend-MC for melody composition which avoids the shortcomings of the existing method. We also developed a software with the Trend-MC algorithm as its core. We demonstrate that the software could compose nice melodies with the input of lyrics.
|Title of host publication||The 2015 IEEE International Conference on Data Mining Workshop (ICDMW)|
|Place of Publication||Atlantic City, USA|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|Publication status||Published - 2015|