There is an increasing interest in the automatic digitization of medieval music documents. Despite efforts in this field, the detection of the different layers of information on these documents still poses difficulties. The use of Deep Neural Network...
Symbolic music understanding is a critical challenge in artificial intelligence. While traditional symbolic music representations like MIDI capture essential musical elements, they often lack the nuanced expression in music scores. Leveraging the adv...
Optical Music Recognition is a field of research that investigates how to computationally decode music notation from images. Despite the efforts made so far, there are hardly any complete solutions to the problem. In this work, we study the use of ne...
Sheet music is one of the most efficient methods for storing music. Meanwhile, a large amount of sheet music-image data is stored in paper form, but not in a computer-readable format. Therefore, digitizing sheet music is an essential task, such that...
This study explores how Philip Glass’s post-minimalist techniques in the film score of The Hours interact with the film’s non-linear narrative structure. By integrating musicological analysis and film narrative theory, the paper examines...
This article studies a composer style classification task based on raw sheet music images. While previous works on composer recognition have relied exclusively on supervised learning, we explore the use of self-supervised pretraining methods that hav...
Optical music recognition (OMR) is an area in music information retrieval. Music object detection is a key part of the OMR pipeline. Notes are used to record pitch and duration and have semantic information. Therefore, note recognition is the core an...
We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music docume...
The recognition of printed music sheets in camera-based realistic scenarios is a novel research branch of optical music recognition (OMR). However, special factors in realistic scenarios, such as uneven lighting distribution and curvature of staff li...
The article offers some reflections on the body-space relationship through images, graphic translations and visual studies that converge into a contemporary digital illuminated avant-garde of the fourth virtual dimension. Starting from the study of t...
The concept of auditory scene analysis, popularized in scientific experiments by A. S. Bregman, the primary architect of the perceptual streaming theory, and his research team, along with more recent analyses by subsequent researchers, highlights a s...
Optical music recognition is a research field whose efforts have been mainly focused, due to the difficulties involved in its processes, on document and image recognition. However, there is a final step after the recognition phase that has not been p...
Symbolic semantic understanding of staff images is an important technological support to achieve “intelligent score flipping”. Due to the complex composition of staff symbols and the strong semantic correlation between symbol spaces, it i...
In today’s digital age, the conversion of hardcopy documents into digital formats is widespread. This process involves electronically scanning and storing large volumes of documents. These documents come from various sources, including records...
In this era of digitization, most hardcopy documents are being transformed into digital formats. In the process of transformation, large quantities of documents are stored and preserved through electronic scanning. These documents are available from...
A crowd can be both a sound source and an absorber. The sound of human voices significantly impacts evaluations of acoustic indicators in urban public spaces. This study aimed to investigate whether human sound impacts evaluations of the overall envi...
In the last decade, advances in statistical modeling and computer science have boosted the production of machine-produced contents in different fields: from language to image generation, the quality of the generated outputs is remarkably high, someti...