Music - Media - History: Re-Thinking Musicology in an Age of Digital Media

Music and sound shape the emotional content of audio-visual media and carry different meanings. This volume considers audio-visual material as a primary source for historiography. By analyzing how the same sounds are used in different media contexts at different times, the contributors intend to challenge the linear perspective of (music) history based on canonic authority. The book discusses AV-Documents (analysis in context), methodological questions (implications for research, education, and popularization of knowledge), archives of cultural memory (from the perspective of Cultural Studies) as well as digitalization and its consequences (organization of knowledge)

Music - Media - History

Music and sound shape the emotional content of audio-visual media and carry different meanings. This volume considers audio-visual material as a primary source for historiography. By analyzing how the same sounds are used in different media contexts at different times, the contributors intend to challenge the linear perspective of (music) history based on canonic authority. The book discusses AV-Documents (analysis in context), methodological questions (implications for research, education, and popularization of knowledge), archives of cultural memory (from the perspective of Cultural Studies) as well as digitalization and its consequences (organization of knowledge)

Music - Media - History

Music and sound shape the emotional content of audio-visual media and carry different meanings. This volume considers audio-visual material as a primary source for historiography. By analyzing how the same sounds are used in different media contexts at different times, the contributors intend to challenge the linear perspective of (music) history based on canonic authority. The book discusses AV-Documents (analysis in context), methodological questions (implications for research, education, and popularization of knowledge), archives of cultural memory (from the perspective of Cultural Studies) as well as digitalization and its consequences (organization of knowledge)

Machine Learning Algorithm for the Scansion of Old Saxon Poetry

Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input verses