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 …

We apply deep learning methods, specifically long short-term memory (LSTM) networks, to
music transcription modelling and composition. We build and train LSTM networks using …

With recent breakthroughs in artificial neural networks, deep generative models have
become one of the leading techniques for computational creativity. Despite very promising …

Several methods exist for a computer to generate music based on data including Markov
chains, recurrent neural networks, recombinancy, and grammars. We explore the use of unit …

Composing music is an inspired yet challenging task, in that the process involves many
considerations such as assigning pitches, determining rhythm, and arranging …

In this paper, we propose a generic technique to model temporal dependencies and
sequences using a combination of a recurrent neural network and a Deep Belief Network …

In this paper a new neural network system for composition of melodies is proposed. The
Long Short-Term Memory (LSTM) neural network is adopted as the neural network model …

With the prevalence of online video-sharing platforms increasing in recent years, many
people have started to create their own videos and upload them onto the Internet. In …

This paper presents MahlerNet, a deep recurrent neural network that models polyphonic
music sequences of arbitrary length with an arbitrary number of instruments. The data …

Neurodegenerative diseases like Alzheimer's and other forms of Dementia have been a
cause of severe memory impairment. However, there are certain areas in the brain which …