Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …

Music is a powerful medium for altering the emotional state of the listener. In recent years,
with significant advancements in computing capabilities, artificial intelligence-based (AI …

This paper presents an attempt to employ the mask language modeling approach of BERT
to pre-train a 12-layer Transformer model over 4,166 pieces of polyphonic piano MIDI files …

Generating music from text descriptions is a user-friendly mode since the text is a relatively
easy interface for user engagement. While some approaches utilize texts to control music …

In this paper we present a new approach for the generation of multi-instrument symbolic
music driven by musical emotion. The principal novelty of our approach centres on …

Music creation is difficult because one must express one's creativity while following strict
rules. The advancement of deep learning technologies has diversified the methods to …

This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …

The field of Automatic Music Generation has seen significant progress thanks to the advent
of Deep Learning. However, most of these results have been produced by unconditional …

Emotion is one of the most crucial attributes of music. However, due to the scarcity of
emotional music datasets, emotion-conditioned symbolic music generation using deep …

This paper presents a new approach for controlling emotion in symbolic music generation
with Monte Carlo Tree Search. We use Monte Carlo Tree Search as a decoding mechanism …