Search

This presentation explores how n-grams can be used to automatically classify and learn about music. An overall discussion is provided of various ways in which n-grams can be adapted for use with digital scores, and of how musically meaningful features can be extracted from them. The jSymbolic 3.0 alpha prototype feature extractor is then used in three sets of music classification experiments investigating how n-gram features perform relative to and combined with other types of features extracted from symbolic music files., Funded by the FRQSC and SSHRC.

We present a study of musical arrangements oif concert music for domestic performance through the lens of an English monthly music journal (The Harmonicon). The study is supported by digital annotation tooling built on IIIF, MEI and Linked Data.

In Digital Humanities "Distant Listening" scholarship with sound, the expectation is that the data set will be clean and audible and that its metadata will be descriptive and informative.[1] In contrast to this notion, this talk demonstrates the importance of distortions in approximately seventy-five brief "tracks" or recorded songs, stories, and explanations from a folklore recording trip Zora Neale Hurston took in 1935 to Florida and Georgia with Alan Lomax and Mary Elizabeth Barnicle for the Library of Congress. Close listening to her 1935 recordings reveals that social and technical distortions are in line with how Hurston expresses the complexities of authority, authenticity, and subjectivity in her writings, which amplifying black epistemologies of self-making and creating resonant possibilities for imagining new transgressive formulations of cultural identity. This talk will consider how distortions play an important in large-scale digital projects with sound in the humanities.

In summary, we present our model MGRHF in the automatic recognition of Chinese operas, and conduct the empirical experiments. Experimental results demonstrate the efficiency and strong performance of MGRHF.

This study explores cultural exchanges of organ building between Central and South-Eastern Europe using multimodal analyses and interactive visualizations. Findings reveal specific trends of organ characteristics and diverse exchanges across the regions and timespans. Future research aims to further examine the findings through audiovisual digitization, acoustical analyses and virtualization approaches.

Participants are invited to explore modelling and annotation through exercises demonstrating music research conducted in Oxford and Vienna. After hands-on ontology design exercises with pen and paper, they are introduced to cutting-edge digital tooling and led through research processes of an ongoing project investigating the Vienna Philharmonic's New Year's Concerts.

Composed to mark Franz Joseph's state visit to Wilhelm II, Strauss' Kaiser Walzer (Emperor Waltz) provokes the question: which Emperor was it for? We investigate this in a case study of interdisciplinary collaboration in digital musicology, employing a FAIR data multimedia corpus associated with the Vienna Philharmonic's New Year's Concerts.

This workshop will help participants make audio, video, and its interpretations more discoverable and usable through the use of the IIIF (International Image Interoperability Framework) standard for audio and video to produce, publish, and sustain W3C Web Annotations for individual and collaborative audiovisual editions, exhibits, and playlists. The workshop format will include introductions to IIIF, AudiAnnotate, Audacity, and GitHub using model, collaborative AudiAnnotate projects called the "SpokenWeb Anthology," made from recordings from the SpokenWeb Consortium and "Radio Venceremos, the Rebel's Radio Station," which features recordings from Radio Venceremos ("Radio We Will Overcome"), a popular, clandestine radio station that the Farabundo Martí National Liberation Front (FMLN) created to broadcast news and analysis from the mountains of Morazán, El Salvador during the eleven year Salvadoran Civil War (1981-1992).