Music has been an integral part of the history of humankind with theories suggesting it is
more antediluvian than speech itself. Music is an ordered succession of tones and …

Measuring the quality of digital image is a complicated and importance task in image
processing. This task is possible using Image Quality Assessment (IQA) metrics. Among …

Numerous applications for music listeners, educators, DJs, and musicians have been
created over the past decade as the field of Music Deep Learning has expanded. Evidently …

Accurate music tag classification of music clips has been attracting great attention recently,
because it allows one to provide various music excerpts, including unpopular ones, to users …

By employing artificial intelligence techniques and algorithms such as color and depth
image processing, signal processing, machine learning, evolutionary algorithms and fuzzy …

Feature selection can be defined as an optimisation problem and solved by bioinspired
algorithms. The Bees Algorithm (BA) returns great performance in the feature …

In applications such as noise removal, speech separation, music reconstruction or
integration, and many others, it is important to decompose a single-channel recorded sound …

This research aims to develop a gamelan music genre classifier based on the musical mode
system determined based on the dominant notes in a certain order. Only experts can …

Technology adoption is extremely limited in Afghanistan, especially since people have
limited access to the Internet, smartphone, and computer due to power limitations and the …

Music production industry is one of the most fast-growing industries out there and there are
more and more people now-a-days getting into music production. The cost of production that …