For over 50 years, researchers have been trying to teach computers to read music notation,
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …

The Internet of Musical Things (IoMusT) is an emerging research field positioned at the
intersection of Internet of Things, new interfaces for musical expression, ubiquitous music …

Current sound-based practices and systems developed in both academia and industry point
to convergent research trends that bring together the field of sound and music Computing …

The work aims to propose a novel approach for automatically identifying all instruments
present in an audio excerpt using sets of individual convolutional neural networks (CNNs) …

Combining computational technologies and humanities is an ongoing effort aimed at making
resources such as texts, images, audio, video, and other artifacts digitally available …

Smart musical instruments (SMIs) are a family of Internet of Musical Things devices for music
creation. They are characterized by sensors, actuators, embedded intelligence, and wireless …

This study introduces self-supervised contrastive learning to acquire feature representations
of singing voices. To acquire robust representations in an unsupervised manner, regular self …

Purpose The purpose of this paper is to dissect key issues and debates in digital humanities,
an emerging field of theory and practice. Digital humanities stands greatly to impact the …

The aim of this article is to investigate whether separating music tracks at the pre-processing
phase and extending feature vector by parameters related to the specific musical …

In 2007 and into 2008, a disputed presidential election in Kenya ended in a tragic and
complex pattern of violent protests, heavy-handed responses from the police and ethnically …