The research expects to explore the application of intelligent music recognition technology
in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm …

With the rapid development of artificial intelligence (AI), music generation has gained
widespread attention. Long short-term memory (LSTM) has advantages in handling time …

Music is an extremely subjective art form whose commodification via the recording industry
in the 20th century has led to an increasingly subdivided set of genre labels that attempt to …

A recent trend in deep learning is using state-of-the-art models to generate human art forms.
Using such “intelligent” models to generate novel musical compositions is a thriving area of …

Con la nueva oleada de las redes neuronales, arquitecturas basas en aprendizaje profundo
han tenido mucho éxito en la última década. Una de las principales aplicaciones que han …

Guzheng tune progression involves intricately harmonizing melodic motif transitions.
Effectively navigating this vast creative possibility space to expose musically consistent …

Music generation is an application of machine learning that has garnered significant
attention over the recent past. In this study we generated musical notes using three deep …

In this study, we explore to address challenges related to incorrect scores, inconsistent
rhythm and labeling in the generation of symbolic music scores, with a focus on the …

Music is a very vast domain with various notes, chords, and octaves. Music theories are very
complex in nature and are difficult to understand by a layman, in this research paper the aim …

Within the realm of algorithmic music composition, machine learning-powered systems
alleviate the necessity of painstakingly crafting composition rules by hand. This paper …