Algorithmic composition is the partial or total automation of the process of music composition
by using computers. Since the 1950s, different computational techniques related to Artificial …

Realistic music generation has always remained as a challenging problem as it may lack
structure or rationality. In this work, we propose a deep learning based music generation …

This paper proposes a new morphing method to generate a melody, given two melodies
represented by time-span trees obtained from the generative theory of tonal music (GTTM) …

In this paper, we propose a model that combines Convolutional Neural Network (CNN) and
Long Short-Term Memory (LSTM) for music generation. We first convert MIDI-format music …

Nowadays, the availability of huge amount of music stored in digital format in public or
personal collections creates problems for their organization and for locating information …

We are living in a very rich culture of music. Nowadays, such genre distinctions as jazz, rock,
pop, and classical are meaningless. Fusion has occurred in 1970s; Miles Davis introduced …

Abstract manuscripts Nowadays, music generation has become an important research field
in the study of deep learning. Many different methods such as Generative Adversarial …

Similarity computation is a difficult issue in music information retrieval tasks, because it tries
to emulate the special ability that humans show for pattern recognition in general, and …

We approach the task of harmonizing chorales through style imitation by probabilistically
modelling the harmony of music pieces in the framework of weighted finite-state transducers …

We introduce a fold operation that realises a tree-to-graph transduction by merging selected
nodes in the input tree to form a possibly cyclic output graph. The work is motivated by the …