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<p class="MsoNormal">Distinguished Lecture Series in Music and Digital Humanities
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<br>
<a href="https://iwk.mdw.ac.at/music-dh">https://iwk.mdw.ac.at/music-dh</a> <br>
<br>
<span lang="EN-US">The next</span> lecture in the Distinguished Lecture Series on Music and Digital Humanities at the mdw University of Music and Performing Arts Vienna
<span lang="EN-US">will take place on Monday 1 June 2026 and</span> be given by <span lang="EN-US">
Christof Wei, </span>Julius-Maximilians-Universitt Wrzburg (JMU): <br>
<br>
"Computational Analysis of Music Audio Recordings: Corpora, Concepts, and Algorithms"
<br>
<br>
Abstract: <span lang="EN-US">D</span>ue to their wide availability and the relatively low effort required for data preparation, audio data offers significant opportunities for musical corpus studies. Moreover, they allow for considering improvised, electronically
generated, or graphically notated music. Extracting explicit information such as pitches, chords, or (local) keys from audio recordings poses a major challenge. This talk focuses on dataset and methods for extracting such information and presents strategies
how to exploit the potential of deep learning while preserving interpretability of the methods. The developed methods build the basis for in-depth analyses of major works such as Wagner's Ring and comprehensive corpus studies of vocal and instrumental music
across several centuries of music history.<o:p></o:p></p>
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Bio: Christof Wei received the Ph.D. degree (2017) in media technology from Technische Universitt Ilmenau, Germany. He also holds degrees in physics (University of Wrzburg) and composition (Wrzburg University of Music). Since 2022, he has been aprofessor
for Computational Humanities at the Julius-Maximilians-Universitt Wrzburg (JMU), where he leads a DFG-funded Emmy Noether research group on computational music analysis. Previously, he worked at the International Audio Laboratories Erlangen and the Fraunhofer
Institute for Digital Media Technology (IDMT) and was a visiting researcher at Tlcom Paris. His research lies at the intersection of music information retrieval, audio signal processing, and computational musicology, with a focus on harmonic and tonal analysis
and corpus-based approaches. He has received several awards, including the Baldwin and Inge Knauf Award (2026) and a Best Paper Award at CHR (2023). He served as a member of the Board of Directors of the International Society for Music Information Retrieval
(ISMIR, 20222023) and has been a member of the Editorial Board of the ACM Journal on Computing and Cultural Heritage (JOCCH) since 2022.<o:p></o:p></p>
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The lecture will start at 17:00 (Vienna/CET)<span lang="EN-US"> and take place in the Bankettsaal, mdw Campus.
</span><br>
<br>
As always, the lecture will be streamed via Zoom, and both in-person and remote participation is free.
<br>
<br>
Zoom Link: <br>
<br>
<a href="https://mdw-ac-at.zoom.us/j/67606221415?pwd=9VUR9zPcIe43mV2Gj5IIXyd3jgWZw1.1">https://mdw-ac-at.zoom.us/j/67606221415?pwd=9VUR9zPcIe43mV2Gj5IIXyd3jgWZw1.1</a>
<br>
<br>
Please refer to <a href="https://iwk.mdw.ac.at/music-dh">https://iwk.mdw.ac.at/music-dh</a> for further information.<o:p></o:p></p>
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