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Intern
    Computational Humanities

    Team

    Prof. Dr.-Ing. Christof Weiß

    Professor
    Computational Humanities
    Julius-Maximilians-Universität Würzburg
    ZPD building
    Hubland Nord
    97074 Würzburg
    Germany
    Gebäude: ZPD
    Raum: 02.006
    Telefon: +49 931 31 80528
    Christof Weiß

    Recent Positions

    11/2022 – present                     Professor for Computational Humanities, CAIDAS / Institute of Computer Science, Julius-Maximilians-Universität Würzburg (JMU), Germany
    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

    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

    2022[ to top ]
    • JSD: A Dataset for Structure Analysis in Jazz Music Balke, Stefan; Reck, Julian; Weiß, Christof; Abeßer, Jakob; Müller, Meinard in Transactions of the International Society for Music Information Retrieval (TISMIR) (2022). 5(1) 156–172.
    • Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings Weiß, Christof; Peeters, Geoffroy in IEEE/ACM Transactions on Audio, Speech & Language Processing (2022). 30 2814–2827.
    • Mid-level Harmonic Audio Features for Musical Style Classification Almeida, Francisco C. F.; Bernardes, Gilberto; Weiß, Christof in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2022).
    2021[ to top ]
    • Towards Leitmotif Activity Detection in Opera Recordings Krause, Michael; Müller, Meinard; Weiß, Christof in Transactions of the International Society for Music Information Retrieval (TISMIR) (2021). 4(1) 127–140.
    • Training Deep Pitch-Class Representations With a Multi-Label CTC Loss Weiß, Christof; Peeters, Geoffroy in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2021). 754–761.
    • Learning Pitch-Class Representations from Score-Audio Pairs of Classical Music Weiß, Christof; Zeitler, Johannes; Zunner, Tim; Schuberth, Florian; Müller, Meinard in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2021). 746–753.
    • Learning Multi-Pitch Estimation From Weakly Aligned Score-Audio Pairs Using a Multi-Label CTC Loss Weiß, Christof; Peeters, Geoffroy in Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (2021). 121–125.
    • Singing Voice Detection in Opera Recordings: A Case Study on Robustness and Generalization Krause, Michael; Müller, Meinard; Weiß, Christof in Electronics (2021). 10(10) 1214:1–14.
    • Computergestützte Visualisierung von Tonalitätsverläufen in Musikaufnahmen. Möglichkeiten für die Korpusanalyse Weiß, Christof; Müller, Meinard in Instrumentalmusik neben Haydn und Mozart. Analyse, Aufführungspraxis und Edition, S. Klauk (ed.) (2021). 107–130.
    • Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis Weiß, Christof; Zalkow, Frank; Arifi-Müller, Vlora; Müller, Meinard; Koops, Hendrik Vincent; Volk, Anja; Grohganz, Harald G. in ACM Journal on Computing and Cultural Heritage (JOCCH) (2021). 14(2) 25:1–18.
    • ’Seitensatz’ versus ’Mittelsatz’: Expositionen in Beethovens frühen Klaviersonaten zwischen zeitgenössischer Theorie und computergestützter Analyse Klauk, Stephanie; Kleinertz, Rainer; Weiß, Christof; Müller, Meinard in Jahrbuch 2017 des Staatlichen Instituts für Musikforschung (SIM) -- Preußischer Kulturbesitz, S. Hohmaier (ed.) (2021).
    • What if the ’When’ Implies the ’What’?: Human Harmonic Analysis Datasets Clarify the Relative Role of Separate Steps in Automatic Tonal Analysis Gotham, Mark; Kleinertz, Rainer; Weiß, Christof; Müller, Meinard; Klauk, Stephanie in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2021). 229–236.
    • Towards Deep Learning Strategies for Transcribing Electroacoustic Music Nowakowski, Matthias; Weiß, Christof; Abeßer, Jakob in Perception, Representations, Image, Sound, Music, R. Kronland-Martinet, S. Ystad, M. Aramaki (eds.) (2021). 48–59.
    2020[ to top ]
    • Local Key Estimation in Classical Music Recordings: A Cross-Version Study on Schubert’s Winterreise Schreiber, Hendrik; Weiß, Christof; Müller, Meinard in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2020). 501–505.
    • Classifying Leitmotifs in Recordings of Operas by Richard Wagner Krause, Michael; Zalkow, Frank; Zalkow, Julia; Weiß, Christof; Müller, Meinard in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2020). 473–480.
    • Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators Weiß, Christof; Schreiber, Hendrik; Müller, Meinard in IEEE/ACM Transactions on Audio, Speech & Language Processing (2020). 28 2919–2932.
    • Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing Rosenzweig, Sebastian; Cuesta, Helena; Weiß, Christof; Scherbaum, Frank; Gómez, Emilia; Müller, Meinard in Transactions of the International Society for Music Information Retrieval (TISMIR) (2020). 3(1) 98–110.
    • Discourse Not Dualism: An Interdisciplinary Dialogue On Sonata Form in Beethoven’s Early Piano Sonatas Weiß, Christof; Klauk, Stephanie; Gotham, Mark; Müller, Meinard; Kleinertz, Rainer in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR) (2020). 199–206.
    2019[ to top ]
    • Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning Mimilakis, Stylianos I.; Weiß, Christof; Arifi-Müller, Vlora; Abeßer, Jakob; Müller, Meinard in Machine Learning and Knowledge Discovery in Databases - Proceedings of the International Workshops of ECML PKDD 2019, Part II, Communications in Computer and Information Science (2019). (Vol. 1168) 429–436.
    • Towards Deep Learning Strategies for Transcribing Electroacoustic Music Nowakowski, Matthias; Weiß, Christof; Abeßer, Jakob in Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR) (2019). 450–461.
    • Investigating Style Evolution of Western Classical Music: A Computational Approach Weiß, Christof; Mauch, Matthias; Dixon, Simon; Müller, Meinard in Musicae Scientiae (2019). 23(4) 486–507.
    • Mid-Level Chord Transition Features for Musical Style Analysis Weiß, Christof; Brand, Fabian; Müller, Meinard in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2019). 341–345.
    • Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner’s Locus Iste Weiß, Christof; Schlecht, Sebastian J.; Rosenzweig, Sebastian; Müller, Meinard in Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR) (2019). 276–283.
    • Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings Taenzer, Michael; Abeßer, Jakob; Mimilakis, Stylianos I.; Weiß, Christof; Lukashevich, Hanna; Müller, Meinard in Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR) (2019). 612–619.
    2018[ to top ]
    • Computational Corpus Analysis: A Case Study on Jazz Solos Weiß, Christof; Balke, Stefan; Abeßer, Jakob; Müller, Meinard in Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR) (2018). 416–423.
    2017[ to top ]
    • Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings Weiß, Christof PhD thesis, Ilmenau University of Technology, Ilmenau, Germany. (2017).
    • A Multi-Version Approach for Transferring Measure Annotations Between Music Recordings Zalkow, Frank; Weiß, Christof; Prätzlich, Thomas; Arifi-Müller, Vlora; Müller, Meinard in Proceedings of the AES International Conference on Semantic Audio (2017). 148–155.
    • Exploring Tonal-Dramatic Relationships in Richard Wagner’s Ring Cycle Zalkow, Frank; Weiß, Christof; Müller, Meinard in Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR) (2017). 642–648.
    • Versionsübergreifende Visualisierung harmonischer Verläufe: Eine Fallstudie zu Wagners Ring-Zyklus Weiß, Christof; Zalkow, Frank; Müller, Meinard; Klauk, Stephanie; Kleinertz, Rainer in Proceedings of the Jahrestagung der Gesellschaft für Informatik (GI) (2017). 205–217.
    2016[ to top ]
    • Analyzing Measure Annotations for Western Classical Music Recordings Weiß, Christof; Arifi-Müller, Vlora; Prätzlich, Thomas; Kleinertz, Rainer; Müller, Meinard in Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR) (2016). 517–523.
    • Möglichkeiten der computergestützten Erkennung und Visualisierung harmonischer Strukturen -- eine Fallstudie zu Richard Wagners "Die Walküre" Weiß, Christof; Kleinertz, Rainer; Müller, Meinard in Bericht zur Jahrestagung der Gesellschaft für Musikforschung (GfM) 2015 in Halle/Saale, W. Auhagen, W. Hirschmann (eds.) (2016).
    2015[ to top ]
    • Zum Scherzo aus Hans Rotts 1. Sinfonie Habryka, Julian; Weiß, Christof in Mythos Handwerk?, A. Jeßulat (ed.) (2015). 187–212.
    • On the Impact of Key Detection Performance for Identifying Classical Music Styles Weiß, Christof; Schaab, Maximilian in Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR) (2015). 45–51.
    • Tonal Complexity Features for Style Classification of Classical Music Weiß, Christof; Müller, Meinard in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2015). 688–692.
    2014[ to top ]
    • Automatic Style Classification of Jazz Records with Respect to Rhythm, Tempo, and Tonality Eppler, Arndt; Männchen, Andreas; Abeßer, Jakob; Weiß, Christof; Frieler, Klaus in Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM) (2014). 162–167.
    • Quantifying and Visualizing Tonal Complexity Weiß, Christof; Müller, Meinard in Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM) (2014). 184–187.
    • A Mid-Level Approach to Local Tonality Analysis: Extracting Key Signatures from Audio Weiß, Christof; Cano, Estefanía; Lukashevich, Hanna in Proceedings of the 53rd AES International Conference on Semantic Audio (2014).
    • Chroma-Based Scale Matching for Audio Tonality Analysis Weiß, Christof; Habryka, Julian in Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM) (2014). 168–173.
    • Timbre-Invariant Audio Features for Style Analysis of Classical Music Weiß, Christof; Mauch, Matthias; Dixon, Simon in Proceedings of the Joint Conference 40th ICMC and 11th SMC (2014). 1461–1468.
    2013[ to top ]
    • Global Key Extraction from Classical Music Audio Recordings Based on the Final Chord Weiß, Christof in Proceedings of the 10th Sound and Music Computing Conference (SMC) (2013). 742–747.
    • Supersymmetric Type-III Seesaw Mechanism: Lepton Flavor Violation and LHC Phenomenology Hirsch, Martin; Porod, Werner; Weiß, Christof; Staub, Florian in Physical Review D (2013). 87(1) 013010.

    Organization of Scientific Events and Societies

    Editorial Activities

    Reviewing

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

    Participations

    Upcoming Courses

    Previous Courses

    • 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

    Co-Supervised Student Theses

    •     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.