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)

From heuristics-based to data-driven audio melody extraction

The identification of the melody from a music recording is a relatively easy task for humans, but very challenging for computational systems. This task is known as "audio melody extraction", more formally defined as the automatic estimation of the pitch sequence of the melody directly from the audio signal of a polyphonic music recording. This thesis investigates the benefits of exploiting knowledge automatically derived from data for audio melody extraction, by combining digital signal processing and machine learning methods. We extend the scope of melody extraction research by working with a varied dataset and multiple definitions of melody. We first present an overview of the state of the art, and perform an evaluation focused on a novel symphonic music dataset. We then propose melody extraction methods based on a source-filter model and pitch contour characterisation and evaluate them on a wide range of music genres. Finally, we explore novel timbre, tonal and spatial features for contour characterisation, and propose a method for estimating multiple melodic lines. The combination of supervised and unsupervised approaches leads to advancements on melody extraction and shows a promising path for future research and applications

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)