Deutsch Intern
Computational Humanities

Christof Weiß

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

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

2024[ to top ]
  • Zeitler, Johannes, Christof Weiß, Vlora Arifi-Müller, and Meinard 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 7, no. 1 (2024): 195-212. https://doi.org/10.5334/TISMIR.196.
  • Liu, Lele, and Christof Weiß. “Utilizing Cross-Version Consistency for Domain Adaptation: A Case Study on Music Audio”. In International Conference on Learning Representations (ICLR), Tiny Papers. https://openreview.net/forum?id=ZNg3YQQKWT.
  • Ding, Yiwei, and Christof 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.
  • Weiß, Christof, and Meinard Müller. “From Music Scores to Audio Recordings: Deep Pitch-Class Representations for Measuring Tonal Structures”. ACM Journal on Computing and Cultural Heritage (JOCCH), 2024. https://doi.org/doi.org/10.1145/3659103.
  • Weiß, Christof. “Computational Audio and Music Analysis”. In Computational Theology. Heidelberg, Germany, 2024.
2023[ to top ]
  • Weiß, Christof, Meinard Müller, Stephanie Klauk, and Rainer Kleinertz. “Neue Wege für Die Musikforschung: Computergestützte Analyse Harmonischer Strukturen”. In Proceedings of the GI Jahrestagung. Berlin, Germany, 2023.
  • Weiß, Christof, and Meinard Müller. “Studying Tonal Evolution of Western Choral Music: A Corpus-Based Strategy”. In Proceedings of the Computational Humanities Research Conference (CHR), 3558:687-702. CEUR Workshop Proceedings. Paris, France, 2023. https://ceur-ws.org/Vol-3558/paper7862.pdf.
  • Klauk, Stephanie, Rainer Kleinertz, Christof Weiß, and Meinard Müller. “Perspektiven computergestützter Harmonischer Analyse: Beethovens Op. 14 Nr. 1 Als Gegenstand gattungsübergreifender Korpusanalyse”. In Proceedings of the GI Jahrestagung. Berlin, Germany, 2023.
  • Weiß, Christof, Vlora Arifi-Müller, Michael Krause, Frank Zalkow, Stephanie Klauk, Rainer Kleinertz, and Meinard Müller. “Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology”. Transaction of the International Society for Music Information Retrieval (TISMIR) 6, no. 1 (2023): 135-49. https://doi.org/https://doi.org/10.5334/tismir.161.
  • Krause, Michael, Christof Weiß, and Meinard 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.
  • Krause, Michael, Christof Weiß, and Meinard 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.
2022[ to top ]
  • Weiß, Christof, and Geoffroy Peeters. “Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings”. IEEE/ACM/Transactions/on/Audio,/Speech/&/Language/Processing 30 (2022): 2814-27. https://doi.org/10.1109/TASLP.2022.3200547.
  • Balke, Stefan, Julian Reck, Christof Weiß, Jakob Abeßer, and Meinard Müller. “JSD: A Dataset for Structure Analysis in Jazz Music”. Transactions of the International Society for Music Information Retrieval (TISMIR) 5, no. 1 (2022): 156-72. https://doi.org/10.5334/tismir.131.
  • Almeida, Francisco C. F., Gilberto Bernardes, and Christof 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 ]
  • Weiß, Christof, and Geoffroy Peeters. “Training Deep Pitch-Class Representations With a Multi-Label CTC Loss”. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 754-61. Online, 2021.
  • Weiß, Christof, Johannes Zeitler, Tim Zunner, Florian Schuberth, and Meinard Müller. “Learning Pitch-Class Representations from Score-Audio Pairs of Classical Music”. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 746-53. Online, 2021.
  • Nowakowski, Matthias, Christof Weiß, and Jakob Abeßer. “Towards Deep Learning Strategies for Transcribing Electroacoustic Music”. In Perception, Representations, Image, Sound, Music, edited by Richard Kronland-Martinet, Solvi Ystad, and Mitsuko Aramaki, 48-59. Cham, Switzerland: Springer International Publishing, 2021.
  • Weiß, Christof, and Meinard Müller. “Computergestützte Visualisierung Von Tonalitätsverläufen in Musikaufnahmen. Möglichkeiten für Die Korpusanalyse”. In Instrumentalmusik Neben Haydn Und Mozart. Analyse, Aufführungspraxis Und Edition, edited by Stephanie Klauk, 107-30. Saarbrücker Studien zur Musikwissenschaft 20, Königshausen & Neumann, 2021.
  • Gotham, Mark, Rainer Kleinertz, Christof Weiß, Meinard Müller, and Stephanie 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), 229-36. Online, 2021.
  • Weiß, Christof, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, and Harald G. Grohganz. “Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis”. ACM Journal on Computing and Cultural Heritage (JOCCH) 14, no. 2 (2021): 25:1-18. https://doi.org/10.1145/3429743.
  • Krause, Michael, Meinard Müller, and Christof Weiß. “Singing Voice Detection in Opera Recordings: A Case Study on Robustness and Generalization”. Electronics 10, no. 10 (2021): 1214:1-14. https://doi.org/10.3390/electronics10101214.
  • Weiß, Christof, and Geoffroy 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), 121-25. New Paltz, USA, 2021.
  • Klauk, Stephanie, Rainer Kleinertz, Christof Weiß, and Meinard 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, edited by Simone Hohmaier. Mainz: Schott Music, 2021.
  • Krause, Michael, Meinard Müller, and Christof Weiß. “Towards Leitmotif Activity Detection in Opera Recordings”. Transactions of the International Society for Music Information Retrieval (TISMIR) 4, no. 1 (2021): 127-40. https://doi.org/10.5334/tismir.116.
2020[ to top ]
  • Krause, Michael, Frank Zalkow, Julia Zalkow, Christof Weiß, and Meinard Müller. “Classifying Leitmotifs in Recordings of Operas by Richard Wagner”. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 473-80. Montreal, Canada, 2020.
  • Weiß, Christof, Hendrik Schreiber, and Meinard Müller. “Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators”. IEEE/ACM/Transactions/on/Audio,/Speech/&/Language/Processing 28 (2020): 2919-32. https://doi.org/10.1109/TASLP.2020.3030485.
  • Schreiber, Hendrik, Christof Weiß, and Meinard 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), 501-5. Barcelona, Spain, 2020. https://doi.org/10.1109/ICASSP40776.2020.9054642.
  • Rosenzweig, Sebastian, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller. “Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing”. Transactions of the International Society for Music Information Retrieval (TISMIR) 3, no. 1 (2020): 98-110. https://doi.org/10.5334/tismir.48.
  • Weiß, Christof, Stephanie Klauk, Mark Gotham, Meinard Müller, and Rainer 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), 199-206. Montréal, Canada, 2020.
2019[ to top ]
  • Weiß, Christof, Sebastian J. Schlecht, Sebastian Rosenzweig, and Meinard 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), 276-83. Delft, The Netherlands, 2019.
  • Mimilakis, Stylianos I., Christof Weiß, Vlora Arifi-Müller, Jakob Abeßer, and Meinard 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, 1168:429-36. Communications in Computer and Information Science. Würzburg, Germany: Springer, 2019.
  • Weiß, Christof, Matthias Mauch, Simon Dixon, and Meinard Müller. “Investigating Style Evolution of Western Classical Music: A Computational Approach”. Musicae Scientiae 23, no. 4 (2019): 486-507. https://doi.org/10.1177/1029864918757595.
  • Taenzer, Michael, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiß, Hanna Lukashevich, and Meinard 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), 612-19. Delft, The Netherlands, 2019.
  • Nowakowski, Matthias, Christof Weiß, and Jakob Abeßer. “Towards Deep Learning Strategies for Transcribing Electroacoustic Music”. In Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), 450-61. Marseille, France, 2019.
  • Weiß, Christof, Fabian Brand, and Meinard Müller. “Mid-Level Chord Transition Features for Musical Style Analysis”. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 341-45. Brighton, UK, 2019. https://doi.org/10.1109/ICASSP.2019.8682293.
2018[ to top ]
  • Weiß, Christof, Stefan Balke, Jakob Abeßer, and Meinard Müller. “Computational Corpus Analysis: A Case Study on Jazz Solos”. In Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 416-23. Paris, France, 2018.
2017[ to top ]
  • Zalkow, Frank, Christof Weiß, Thomas Prätzlich, Vlora Arifi-Müller, and Meinard Müller. “A Multi-Version Approach for Transferring Measure Annotations Between Music Recordings”. In Proceedings of the AES International Conference on Semantic Audio, 148-55. Erlangen, Germany, 2017.
  • Zalkow, Frank, Christof Weiß, and Meinard Müller. “Exploring Tonal-Dramatic Relationships in Richard Wagner’s Ring Cycle”. In Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), 642-48. Suzhou, China, 2017.
  • Weiß, Christof, Frank Zalkow, Meinard Müller, Stephanie Klauk, and Rainer Kleinertz. “Versionsübergreifende Visualisierung Harmonischer Verläufe: Eine Fallstudie Zu Wagners Ring-Zyklus”. In Proceedings of the Jahrestagung Der Gesellschaft für Informatik (GI), 205-17. Chemnitz, Germany, 2017. https://doi.org/10.18420/in2017_14.
  • Weiß, Christof. “Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings”. PhD dissertation, Ilmenau University of Technology, 2017. http://www.db-thueringen.de/receive/dbt_mods_00032890.
2016[ to top ]
  • Weiß, Christof, Rainer Kleinertz, and Meinard 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, edited by Wolfgang Auhagen and Wolfgang Hirschmann. Mainz, Germany: Schott Campus, 2016.
  • Weiß, Christof, Vlora Arifi-Müller, Thomas Prätzlich, Rainer Kleinertz, and Meinard Müller. “Analyzing Measure Annotations for Western Classical Music Recordings”. In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), 517-23. New York, USA, 2016.
2015[ to top ]
  • Weiß, Christof, and Maximilian 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), 45-51. Málaga, Spain, 2015.
  • Habryka, Julian, and Christof Weiß. “Zum Scherzo Aus Hans Rotts 1. Sinfonie”. In Mythos Handwerk?, edited by Ariane Jeßulat, 187-212. Würzburg, Germany: Königshausen & Neumann, 2015.
  • Weiß, Christof, and Meinard Müller. “Tonal Complexity Features for Style Classification of Classical Music”. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 688-92. Brisbane, Australia, 2015.
2014[ to top ]
  • Eppler, Arndt, Andreas Männchen, Jakob Abeßer, Christof Weiß, and Klaus Frieler. “Automatic Style Classification of Jazz Records With Respect to Rhythm, Tempo, and Tonality”. In Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), 162-67.
  • Weiß, Christof, Estefanía Cano, and Hanna 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.
  • Weiß, Christof, and Meinard Müller. “Quantifying and Visualizing Tonal Complexity”. In Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), 184-87. Berlin, Germany, 2014.
  • Weiß, Christof, and Julian Habryka. “Chroma-Based Scale Matching for Audio Tonality Analysis”. In Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), 168-73. Berlin, Germany, 2014. https://www.audiolabs-erlangen.de/fau/assistant/weiss/CIM14_WeissHabryka_ScaleMatching.pdf.
  • Weiß, Christof, Matthias Mauch, and Simon Dixon. “Timbre-Invariant Audio Features for Style Analysis of Classical Music”. In Proceedings of the Joint Conference 40th ICMC and 11th SMC, 1461-68. Athens, Greece, 2014.
2013[ to top ]
  • Weiß, Christof. “Global Key Extraction from Classical Music Audio Recordings Based on the Final Chord”. In Proceedings of the 10th Sound and Music Computing Conference (SMC), 742-47. Stockholm, Sweden, 2013.
  • Hirsch, Martin, Werner Porod, Christof Weiß, and Florian Staub. “Supersymmetric Type-III Seesaw Mechanism: Lepton Flavor Violation and LHC Phenomenology”. Physical Review D 87, no. 1 (January 2013): 013010. https://doi.org/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
  • Neural Computing and Applications
  • Scientometrics
  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • ACM Journal on Computing and Cultural Heritage
  • Applied Sciences

Participations

Current Courses

Previous Courses

  • 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

  • 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 Informatik, 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 Recordings, Master 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 Recordings, Master 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.