Intern
Computational Humanities

Christof Weiß

Prof. Dr.-Ing. Christof Weiß

Professor
Computational Humanities
Universität Würzburg
Hubland Nord (ZPD)
Emil-Hilb-Weg 23
97074 Würzburg
Germany
Gebäude: ZPD
Raum: 02.006
Telefon: +49 931 31 80528
OLYMPUS DIGITAL CAMERA

Recent Positions

11/2022 – present                    

Professor for Computational Humanities at CAIDAS / Institute of Computer Science, Julius-Maximilians-Universität Würzburg (JMU), Germany

Head of DFG-funded Emmy Noether group on Computational Analysis of Music Audio Recordings: A Cross-Version Approach

01/2021 – 12/2021                         Visiting Researcher (DFG Research Fellowship), Audio Data Analysis and Signal Processing group at University Télécom Paris, France. Cooperating partner: Prof. Geoffroy Peeters
04/2020 – 07/2020, 04/2021 – 07/2021 Visiting Lecturer, Karlsruhe University of Music, Germany
09/2015 – 10/2022                       Research Assistant, Semantic Audio Processing, International Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
10/2012 – 07/2015                     Research Assistant, Fraunhofer Institute for Digital Media Technology (IDMT) Ilmenau, Germany

Education

2017            PhD (Media Technology), University of Technology Ilmenau, Supervisor: Prof. Karlheinz Brandenburg, Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings
2012  Concert Diploma (Composition), Würzburg University of Music (Tobias P. M. Schneid)
2012   Physics Diploma, University of Würzburg
2011   Music Diploma (Composition), Würzburg University of Music (Prof. Heinz Winbeck)
2006  Abitur, Max-Reger-Gymnasium Amberg

Scholarships

10/2012 – 08/2015   Fellow of the Foundation of German Business (sdw) PhD program                                                                   
05/2007 – 03/2012     Fellow of the Foundation of German Business (sdw) study program

Prizes and Awards

04/2026 Baldwin and Inge Knauf Award for Outstanding Academic Achievements 2026 in the category "humanities".
12/2023 Best paper award at the 4th conference on Computational Humanities Research (CHR) for the paper Studying Tonal Evolution of Western Choral Music: A Corpus-Based Strategy, authored by Christof Weiß and Meinard Müller
10/2018    KlarText award for science communication of the Klaus Tschira Foundation. The award-winning article "Das ist Haydn. Ganz sicher!" was distributed as a supplement to German newspaper DIE ZEIT.
04/2013   Composition competition Festival Pablo Casals, Prades (France), 2nd prize for the piece "shading a changeable timeframe" for violin, french horn, clarinet, cello, and piano
10/2011   Youth Cultural Advancement Award (Kulturförderpreis) of the city of Amberg, Germany

Research Stays

01/2021 – 12/2021      Research stay at Audio Data Analysis and Signal Processing group, University Télécom ParisTech, France, with Prof. Geoffroy Peeters
11/2014    Research stay at Centre for Digital Music, Queen Mary University of London, UK, with Dr. Matthias Mauch and Dr. Simon Dixon
01/2014 – 02/2014       Research stay at Centre for Digital Music, Queen Mary University of London, UK, with Dr. Matthias Mauch and Dr. Simon Dixon
05/2011 – 08/2011         Research stay at Instituto di Fisica Corpuscular (IFIC) Valencia, Spain, with Dr. Martin Hirsch

2026[ to top ]
  • [1]
    Y. Zhang, S. von Mammen, and C. Weiß, A Review of String Instrument Synthesis Methods for Use in Interactive Systems, Transactions of the International Society for Music Information Retrieval (TIMSIR), vol. 9, no. 1, Art. no. 1, 2026, doi: 10.5334/tismir.267.
  • [1]
    T. Wursthorn, M. Kohl, C. Weiß, K. von Luck, P. Stelldinger, and L. Putzar, End-to-End Music-Driven Stage Lighting: A Co-Creative Framework, in Proceedings of the 19th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA), Crete, Greece, 2026. doi: 10.1145/3652037.3652054.
  • [1]
    C. Weiß, R. Kleinertz, S. Klauk, and M. Müller, Computational Strategies for Measuring and Visualizing Tonal Structures: Towards a Large-Scale Analysis of Wagner’s Ring Cycle, ACM Journal on Computing and Cultural Heritage (JOCCH), 2026.
2025[ to top ]
  • [1]
    M. Bauser et al., Voice Assessment and Vocal Biomarkers in Heart Failure: A Systematic Review, Circulation: Heart Failure, vol. 18, no. 8, Art. no. 8, 2025, doi: 10.1161/CIRCHEARTFAILURE.124.012303.
  • [1]
    C.-Y. Chiu, L. Liu, C. Weiß, and M. Müller, Cross-Modal Approaches to Beat Tracking: A Case Study on Chopin Mazurkas, Transaction of the International Society for Music Information Retrieval (TISMIR), vol. 8, no. 1, Art. no. 1, 2025, doi: 10.5334/tismir.238.
  • [1]
    Y. Ding, Y. Venohr, and C. Weiß, An Evaluation Strategy For Local Key Estimation: Exploiting Cross-Version Consistency, in Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), Daejeon, South Korea, 2025, pp. 158–165. doi: 10.5281/ZENODO.17706357.
  • [1]
    C. Ballester et al., Interacting with Annotated and Synchronized Music Corpora on the Dezrann Web Platform, Transactions of the International Society for Music Information Retrieval (TISMIR), vol. 8, no. 1, Art. no. 1, 2025, doi: 10.5334/TISMIR.212.
  • [1]
    B. Henzel, M. Kröncke, L. Konle, S. Winko, F. Jannidis, and C. Weiß, Poems Set to Music: A Multimodal Analysis of Schubert’s Song Cycle Winterreise, in Proceedings of the Computational Humanities Research Conference (CHR), Luxembourg, 2025.
  • [1]
    B. Henzel, M. Müller, and C. Weiß, Style Evolution in Western Choral Music: A Corpus-Based Strategy, Computational Humanities Research, vol. 1, 2025.
  • [1]
    Y. Venohr, Y. Ding, and C. Weiß, Towards Robust Music Transcription By Measuring Cross-Version Consistency In Western Classical Music, in Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), Daejeon, South Korea, 2025, pp. 271–278. doi: 10.5281/ZENODO.17706389.
  • [1]
    P. Schmolenzky, S. Klauk, C. Weiß, R. Kleinertz, and M. Müller, A Multidimensional Approach to Opera Analysis: Harmony, Tempo, and Dramatic Interaction in Wagner’s Siegfried, in Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), Daejeon, South Korea, 2025.
  • [1]
    M. Müller, J. Zeitler, and C. Weiß, A Computational Approach for Visualizing Tonal Structures in Music Recordings, in Oxford Handbook for Systematic Empirical Research in the Arts, Heidelberg, Germany: Oxford University Press, 2025.
  • [1]
    S. Klauk, P. Schmolenzky, C. Weiß, R. Kleinertz, and M. Müller, Visualizing Wagner: A Combined Annotational Approach to Siegfried Act III, in Proceedings of the Music Encoding Conference (MEC), London, UK, 2025.
  • [1]
    M. Kohl, T. Wursthorn, and C. Weiß, Cross-Modal Metrics for Capturing Correspondences Between Music Audio and Stage Lighting Signals, in Proceedings of the 33rd ACM International Conference on Multimedia (MM), Dublin, Ireland, 2025, pp. 528–534. doi: 10.1145/3746027.3755488.
  • [1]
    L. Liu and C. Weiß, Unsupervised Domain Adaptation for Music Transcription: Exploiting Cross-Version Consistency, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025.
2024[ to top ]
  • [1]
    J. Zeitler, C. Weiß, V. Arifi-Müller, and M. Müller, BPSD: A Coherent Multi-Version Dataset for Analyzing the First Movements of Beethoven’s Piano Sonatas, Transactions of the International Society for Music Information Retrieval, vol. 7, no. 1, Art. no. 1, 2024, doi: 10.5334/TISMIR.196.
  • [1]
    C. Weiß and M. Müller, From Music Scores to Audio Recordings: Deep Pitch-Class Representations for Measuring Tonal Structures, ACM Journal on Computing and Cultural Heritage (JOCCH), 2024, doi: doi.org/10.1145/3659103.
  • [1]
    L. Liu and C. Weiß, Utilizing Cross-Version Consistency for Domain Adaptation: A Case Study on Music Audio, in International Conference on Learning Representations (ICLR), Tiny Papers, 2024. [Online]. Available: https://openreview.net/forum?id=ZNg3YQQKWT
  • [1]
    C. Weiß, Computational Audio and Music Analysis, in Computational Theology, Heidelberg, Germany, 2024.
  • [1]
    Y. Ding and C. Weiß, Towards Robust Local Key Estimation with a Musically Inspired Neural Network, in Proceedings of the European Signal Processing Conference (EUSIPCO), Lyon, France: IEEE, 2024.
2023[ to top ]
  • [1]
    M. Krause, C. Weiß, and M. Müller, A Cross-Version Approach to Audio Representation Learning for Orchestral Music, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Milano, Italy, 2023.
  • [1]
    C. Weiß, M. Müller, S. Klauk, and R. Kleinertz, Neue Wege für die Musikforschung: Computergestützte Analyse harmonischer Strukturen, in Proceedings of the GI Jahrestagung, Berlin, Germany, 2023.
  • [1]
    C. Weiß and M. Müller, Studying Tonal Evolution of Western Choral Music: A Corpus-Based Strategy, in Proceedings of the Computational Humanities Research Conference (CHR), in CEUR Workshop Proceedings, vol. 3558. Paris, France, 2023, pp. 687–702. [Online]. Available: https://ceur-ws.org/Vol-3558/paper7862.pdf
  • [1]
    S. Klauk, R. Kleinertz, C. Weiß, and M. Müller, Perspektiven computergestützter harmonischer Analyse: Beethovens op. 14 Nr. 1 als Gegenstand gattungsübergreifender Korpusanalyse, in Proceedings of the GI Jahrestagung, Berlin, Germany, 2023.
  • [1]
    M. Krause, C. Weiß, and M. Müller, Soft Dynamic Time Warping For Multi Pitch Estimation And Beyond, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, 2023.
  • [1]
    C. Weiß et al., Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology, Transaction of the International Society for Music Information Retrieval (TISMIR), vol. 6, no. 1, Art. no. 1, 2023, doi: https://doi.org/10.5334/tismir.161.
2022[ to top ]
  • [1]
    S. Balke, J. Reck, C. Weiß, J. Abeßer, and M. Müller, JSD: A Dataset for Structure Analysis in Jazz Music, Transactions of the International Society for Music Information Retrieval (TISMIR), vol. 5, no. 1, Art. no. 1, 2022, doi: 10.5334/tismir.131.
  • [1]
    C. Weiß and G. Peeters, Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings, IEEE/ACM Transactions on Audio, Speech & Language Processing, vol. 30, pp. 2814–2827, 2022, doi: 10.1109/TASLP.2022.3200547.
  • [1]
    F. C. F. Almeida, G. Bernardes, and C. Weiß, Mid-level Harmonic Audio Features for Musical Style Classification, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Bengaluru, India, 2022.
2021[ to top ]
  • [1]
    S. Klauk, R. Kleinertz, C. Weiß, and M. Müller, ’Seitensatz’ versus ’Mittelsatz’: Expositionen in Beethovens frühen Klaviersonaten zwischen zeitgenössischer Theorie und computergestützter Analyse, in Jahrbuch 2017 des Staatlichen Instituts für Musikforschung (SIM) -- Preußischer Kulturbesitz, S. Hohmaier, Ed., Mainz: Schott Music, 2021.
  • [1]
    M. Gotham, R. Kleinertz, C. Weiß, M. Müller, and S. Klauk, What if the ’When’ Implies the ’What’?: Human Harmonic Analysis Datasets Clarify the Relative Role of Separate Steps in Automatic Tonal Analysis, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Online, 2021, pp. 229–236.
  • [1]
    C. Weiß, J. Zeitler, T. Zunner, F. Schuberth, and M. Müller, Learning Pitch-Class Representations from Score-Audio Pairs of Classical Music, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Online, 2021, pp. 746–753.
  • [1]
    C. Weiß et al., Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis, ACM Journal on Computing and Cultural Heritage (JOCCH), vol. 14, no. 2, Art. no. 2, 2021, doi: 10.1145/3429743.
  • [1]
    C. Weiß and G. Peeters, Training Deep Pitch-Class Representations With a Multi-Label CTC Loss, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Online, 2021, pp. 754–761.
  • [1]
    M. Krause, M. Müller, and C. Weiß, Singing Voice Detection in Opera Recordings: A Case Study on Robustness and Generalization, Electronics, vol. 10, no. 10, Art. no. 10, 2021, doi: 10.3390/electronics10101214.
  • [1]
    C. Weiß and G. Peeters, Learning Multi-Pitch Estimation From Weakly Aligned Score-Audio Pairs Using a Multi-Label CTC Loss, in Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, USA, 2021, pp. 121–125.
  • [1]
    M. Krause, M. Müller, and C. Weiß, Towards Leitmotif Activity Detection in Opera Recordings, Transactions of the International Society for Music Information Retrieval (TISMIR), vol. 4, no. 1, Art. no. 1, 2021, doi: 10.5334/tismir.116.
  • [1]
    C. Weiß and M. Müller, Computergestützte Visualisierung von Tonalitätsverläufen in Musikaufnahmen. Möglichkeiten für die Korpusanalyse, in Instrumentalmusik neben Haydn und Mozart. Analyse, Aufführungspraxis und Edition, S. Klauk, Ed., Saarbrücker Studien zur Musikwissenschaft 20, Königshausen & Neumann, 2021, pp. 107–130.
  • [1]
    M. Nowakowski, C. Weiß, and J. Abeßer, Towards Deep Learning Strategies for Transcribing Electroacoustic Music, in Perception, Representations, Image, Sound, Music, R. Kronland-Martinet, S. Ystad, and M. Aramaki, Eds., Cham, Switzerland: Springer International Publishing, 2021, pp. 48–59.
2020[ to top ]
  • [1]
    M. Krause, F. Zalkow, J. Zalkow, C. Weiß, and M. Müller, Classifying Leitmotifs in Recordings of Operas by Richard Wagner, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Montreal, Canada, 2020, pp. 473–480.
  • [1]
    C. Weiß, S. Klauk, M. Gotham, M. Müller, and R. Kleinertz, Discourse Not Dualism: An Interdisciplinary Dialogue On Sonata Form in Beethoven’s Early Piano Sonatas, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), Montréal, Canada, 2020, pp. 199–206.
  • [1]
    C. Weiß, H. Schreiber, and M. Müller, Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators, IEEE/ACM Transactions on Audio, Speech & Language Processing, vol. 28, pp. 2919–2932, 2020, doi: 10.1109/TASLP.2020.3030485.
  • [1]
    S. Rosenzweig, H. Cuesta, C. Weiß, F. Scherbaum, E. Gómez, and M. Müller, Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing, Transactions of the International Society for Music Information Retrieval (TISMIR), vol. 3, no. 1, Art. no. 1, 2020, doi: 10.5334/tismir.48.
  • [1]
    H. Schreiber, C. Weiß, and M. Müller, Local Key Estimation in Classical Music Recordings: A Cross-Version Study on Schubert’s Winterreise, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 501–505. doi: 10.1109/ICASSP40776.2020.9054642.
2019[ to top ]
  • [1]
    C. Weiß, F. Brand, and M. Müller, Mid-Level Chord Transition Features for Musical Style Analysis, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 2019, pp. 341–345. doi: 10.1109/ICASSP.2019.8682293.
  • [1]
    M. Taenzer, J. Abeßer, S. I. Mimilakis, C. Weiß, H. Lukashevich, and M. Müller, Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings, in Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019, pp. 612–619.
  • [1]
    M. Nowakowski, C. Weiß, and J. Abeßer, Towards Deep Learning Strategies for Transcribing Electroacoustic Music, in Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), Marseille, France, 2019, pp. 450–461.
  • [1]
    C. Weiß, S. J. Schlecht, S. Rosenzweig, and M. Müller, Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner’s Locus Iste, in Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands, 2019, pp. 276–283.
  • [1]
    C. Weiß, M. Mauch, S. Dixon, and M. Müller, Investigating Style Evolution of Western Classical Music: A Computational Approach, Musicae Scientiae, vol. 23, no. 4, Art. no. 4, 2019, doi: 10.1177/1029864918757595.
  • [1]
    S. I. Mimilakis, C. Weiß, V. Arifi-Müller, J. Abeßer, and M. Müller, Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning, in Machine Learning and Knowledge Discovery in Databases - Proceedings of the International Workshops of ECML PKDD 2019, Part II, in Communications in Computer and Information Science, vol. 1168. Würzburg, Germany: Springer, 2019, pp. 429–436.
2018[ to top ]
  • [1]
    C. Weiß, S. Balke, J. Abeßer, and M. Müller, Computational Corpus Analysis: A Case Study on Jazz Solos, in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France, 2018, pp. 416–423.
2017[ to top ]
  • [1]
    C. Weiß, Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings, PhD dissertation, Ilmenau University of Technology, Ilmenau, Germany, 2017. [Online]. Available: http://www.db-thueringen.de/receive/dbt_mods_00032890
  • [1]
    C. Weiß, F. Zalkow, M. Müller, S. Klauk, and R. Kleinertz, Versionsübergreifende Visualisierung harmonischer Verläufe: Eine Fallstudie zu Wagners Ring-Zyklus, in Proceedings of the Jahrestagung der Gesellschaft für Informatik (GI), Chemnitz, Germany, 2017, pp. 205–217. doi: 10.18420/in2017_14.
  • [1]
    F. Zalkow, C. Weiß, and M. Müller, Exploring Tonal-Dramatic Relationships in Richard Wagner’s Ring Cycle, in Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China, 2017, pp. 642–648.
  • [1]
    F. Zalkow, C. Weiß, T. Prätzlich, V. Arifi-Müller, and M. Müller, A Multi-Version Approach for Transferring Measure Annotations Between Music Recordings, in Proceedings of the AES International Conference on Semantic Audio, Erlangen, Germany, 2017, pp. 148–155.
2016[ to top ]
  • [1]
    C. Weiß, V. Arifi-Müller, T. Prätzlich, R. Kleinertz, and M. Müller, Analyzing Measure Annotations for Western Classical Music Recordings, in Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA, 2016, pp. 517–523.
  • [1]
    C. Weiß, R. Kleinertz, and M. Müller, Möglichkeiten der computergestützten Erkennung und Visualisierung harmonischer Strukturen -- eine Fallstudie zu Richard Wagners ‘Die Walküre’, in Bericht zur Jahrestagung der Gesellschaft für Musikforschung (GfM) 2015 in Halle/Saale, W. Auhagen and W. Hirschmann, Eds., Mainz, Germany: Schott Campus, 2016.
2015[ to top ]
  • [1]
    C. Weiß and M. Müller, Tonal Complexity Features for Style Classification of Classical Music, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, 2015, pp. 688–692.
  • [1]
    C. Weiß and M. Schaab, On the Impact of Key Detection Performance for Identifying Classical Music Styles, in Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), Málaga, Spain, 2015, pp. 45–51.
  • [1]
    J. Habryka and C. Weiß, Zum Scherzo aus Hans Rotts 1. Sinfonie, in Mythos Handwerk?, A. Jeßulat, Ed., Würzburg, Germany: Königshausen & Neumann, 2015, pp. 187–212.
2014[ to top ]
  • [1]
    C. Weiß and M. Müller, Quantifying and Visualizing Tonal Complexity, in Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), Berlin, Germany, 2014, pp. 184–187.
  • [1]
    C. Weiß, M. Mauch, and S. Dixon, Timbre-Invariant Audio Features for Style Analysis of Classical Music, in Proceedings of the Joint Conference 40th ICMC and 11th SMC, Athens, Greece, 2014, pp. 1461–1468.
  • [1]
    C. Weiß and J. Habryka, Chroma-Based Scale Matching for Audio Tonality Analysis, in Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), Berlin, Germany, 2014, pp. 168–173. [Online]. Available: https://www.audiolabs-erlangen.de/fau/assistant/weiss/CIM14_WeissHabryka_ScaleMatching.pdf
  • [1]
    A. Eppler, A. Männchen, J. Abeßer, C. Weiß, and K. Frieler, Automatic Style Classification of Jazz Records with Respect to Rhythm, Tempo, and Tonality, in Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), 2014, pp. 162–167.
  • [1]
    C. Weiß, E. Cano, and H. Lukashevich, A Mid-Level Approach to Local Tonality Analysis: Extracting Key Signatures from Audio, in Proceedings of the 53rd AES International Conference on Semantic Audio, London, UK, 2014.
2013[ to top ]
  • [1]
    C. Weiß, Global Key Extraction from Classical Music Audio Recordings Based on the Final Chord, in Proceedings of the 10th Sound and Music Computing Conference (SMC), Stockholm, Sweden, 2013, pp. 742–747.
  • [1]
    M. Hirsch, W. Porod, C. Weiß, and F. Staub, Supersymmetric Type-III Seesaw Mechanism: Lepton Flavor Violation and LHC Phenomenology, Physical Review D, vol. 87, no. 1, Art. no. 1, Jan. 2013, doi: 10.1103/PhysRevD.87.013010.

Organization of Scientific Events

Editorial Activities and Society Activities

Reviewing

  • Proceedings of the International Society for Music Information Retrieval Conference (Meta-Reviewer)
  • Transactions of the International Society for Music Information Retrieval
  • Proceedings Conference on Computational Humanities Research (CHR)
  • Journal of Cultural Analytics
  • Music & Science
  • IEEE Signal Processing Magazine
  • IEEE Access
  • Musicae Scientiae
  • Applied Sciences
  • Evolutionary Human Sciences
  • Scientometrics
  • ACM Journal on Computing and Cultural Heritage
  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • Neural Computing and Applications

Participations

Current Courses

  • Lecture: Practical Foundations of Machine Learning, for BA Digital Humanities, JMU Würzburg, Winter Term 2025/26
  • Seminar: Music Processing, for MSc Computer Science, MSc Artificial Intelligence, MSc AI&XR, JMU Würzburg, Winter Term 2025/26

Previous Courses

  • Lecture: Music Information Retrieval for MSc Computer Science, MSc Artificial Intelligence, MSc AI&XR, MA Digital Humanities, JMU Würzburg Summer Term 2025
  • Seminar (with Fotis Jannidis, Benjamin Henzel): Multimodal Analysis of Poems set to Music, for MA Digital Humanities, JMU Würzburg, Summer Term 2025
  • Seminar: Music Processing, for MSc Computer Science, MSc AI&XR, JMU Würzburg, Winter Term 2024/25
  • Lecture: Music Information Retrieval for MSc Computer Science, MSc xtAI, MA Digital Humanities, JMU Würzburg Summer Term 2024
  • Praktikum: Music and Audio Processing,  for MSc Computer Science, MSc xtAI, JMU Würzburg, Summer Term 2024
  • Seminar: Computational Audio and Music Analysis for MA Digital Humanities, JMU Würzburg, Winter Term 2023/24
  • Seminar: Music Processing, for MSc Computer Science, MSc xtAI, JMU Würzburg, Winter Term 2023/24
  • Lecture: Music Information Retrieval for MSc Computer Science, MSc xtAI, MA Digital Humanities, JMU Würzburg Summer Term 2023
  • Lecture: Advanced Audio-Based Music Processing, University of Music Karlsruhe, Summer Term 2021
  • Lecture: Digitale Musikanalyse: Wie gut können Computer hören? for students of B.A. Digitale Geistes- und Sozialwissenschaften (DGSW) and B.Sc. Elektrotechnik-Elektronik-Informationstechnik (EEI), Summer Term 2020
  • Lecture: Advanced Audio-Based Music Processing, University of Music Karlsruhe, Summer Term 2020
  • Lecture: Harmony Analysis (part of course Music Processing Analysis, Prof. Meinard Müller), Winter Term 2019/20
  • Seminar: Music Processing (part of Audio Processing Seminar), Winter Term 2019/20
  • Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory), Summer Term 2019
  • Lecture: Harmony Analysis (part of course Music Processing Analysis, Prof. Meinard Müller), Winter Term 2018/19
  • Seminar: Audio Decomposition and Structure Analysis (part of Audio Processing Seminar), Winter Term 2018/19
  • Seminar: Chord Recognition and Audio Decomposition (part of Audio Processing Seminar), Winter Term 2017/18
  • Lecture: Harmony Analysis (part of course Music Processing Analysis, Prof. Meinard Müller), Winter Term 2017/18
  • Seminar: Automatic Chord Recognition from Audio Recordings (part of Audio Processing Seminar), Summer Term 2017
  • Seminar: Reproducible Audio Research (part of Audio Processing Seminar), Winter Term 2016/17
  • Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory), Summer Term 2016
  • Lab: Short-Time Fourier Transform and Chroma Features (part of Audio Processing Laboratory), Winter Term 2015/16
  • Lecture: Music Information Retrieval III – Tonality and Structure Analysis (part of course Audio Systems Technology), Ilmenau University of Technology, Winter Term 2014/15
  • Exercises: Theoretische Mechanik und Quantenmechanik für Lehramtsstudierende der Physik, University of Würzburg, Summer Term 2012

Tutorials and Workshops

Supervised Student Theses

  • Isabel Müller, Quantitative Analysis of Western Films: Audio, Camera, and Cross-Modal Interplay, Bachelor Thesis Digital Humanities, JMU Würzburg 2025.
  • Jan Esperer, Sound Activity Detection by Demixing: A Case Study on Western Films, Bachelor Thesis Computer Science, JMU Würzburg, 2025.
  • Sapana Gupta, Colorization of Egyptian Relief Images Master Thesis Computer Science, JMU Würzburg, 2025.
  • Leonie Schafferhans, Synchronizing Heterogeneous Music Data Using Learned Representations, Bachelor Thesis Artificial Intelligence and Data Science, JMU Würzburg, 2025.
  • Marc-Philipp Knechtle, Beyond Solo Piano: Comparing Instrument-Agnostic Music Transcription Models on Polyphonic Classical Music Recordings, Master Thesis Computer Science, JMU Würzburg, 2025.
  • Moritz Hering, Towards Lightweight and Causal Neural Networks for Instrument-agnostic Music Transcription, Master Thesis Computer Science, JMU Würzburg, 2025.
  • Benjamin Henzel, Stylistic Evolution of Composers in Western Classical Music: An Audio-Based Corpus Study, Master Thesis Digital Humanities, JMU Würzburg, 2024.
  • Stefan Mühl, An Analysis of Audiovisual Features in Movies across Time and Genres, Bachelor Thesis Digital Humanities, JMU Würzburg 2024.
  • Michael Kohl, Generating Stage Lighting Controls from Music Audio Input, Master Thesis Computer Science, JMU Würzburg, 2023.
  • Sebastian Strahl, Learning Multi-Instrument Pitch Representations from Score–Audio Pairs, ASC Major Research Project, FAU Erlangen-Nürnberg, 2022.
  • Hans-Ulrich Berendes, Evaluating Deep Pitch Class Features for Chord Recognition, ASC Minor Research Project, FAU Erlangen-Nürnberg, 2022.
  • Benjamin Brunner, Evaluating Tuning Estimation Algorithms for Music Processing Applications, Master Thesis, FAU Erlangen-Nürnberg, 2021.
  • Florian Schuberth, A Cross-Version Study on Computational Harmony Analysis of Music RecordingsMaster Thesis, FAU Erlangen-Nürnberg, 2021.
  • Johannes Zeitler, Extracting Tonal Features for Music Analysis Using Deep Learning, ASC Major Research Project, FAU Erlangen-Nürnberg, 2020.
  • Tim Zunner, Deep Learning Techniques for Tonal Analysis of Music Recordings, ASC Major Research Project, FAU Erlangen-Nürnberg, 2020.
  • Leo Brütting, Hierarchical Tonal Analysis of Music Signals, Bachelor Thesis, FAU Erlangen-Nürnberg, 2019.
  • Fabian Brand, Chord Transition Features for Style Classification of Music RecordingsMaster Thesis, FAU Erlangen-Nürnberg, 2018.
  • Sebastian Preuße, Entwicklung eines Algorithmus zur segmentweisen Klassifikation von Instrumentenfamilien, Bachelor Thesis, Ilmenau University of Technology, 2016.  Bibtex
  • Andreas Männchen, Entwicklung und Implementierung eines Verfahrens zur automatischen und echtzeitfähigen Erkennung von Akkorden sowie wiederholten Harmoniefolgen in Gitarrensignalen, Master Thesis, TU Ilmenau, 2015.
  • Robert Gräfe, Automatische Analyse und Klassifizierung von Audiodaten anhand von Tonartverläufen, Bachelor Thesis, TU Ilmenau, 2015.
  • Maximilian Schaab, Automatische Klassifikation klassischer Musikstile anhand relativer Tonhöhenklassen, Bachelor Thesis, TU Ilmenau, 2015.