Daniel Müllensiefen

According to our database, Daniel Müllensiefen authored at least 19 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Perceptual and automated estimates of infringement in 40 music copyright cases.

Yuchen Yuan, Charles Cronin, Daniel Müllensiefen, Shinya Fujii, Patrick E. Savage

Trans. Int. Soc. Music. Inf. Retr., January, 2023

Human music perception ability is not a sexually dimorphic trait.

Mila Bertolo, Daniel Müllensiefen, Isabelle Peretz, Sarah C. Woolley, Jon T. Sakata, Samuel Mehr

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2020

Perceptual vs. automated judgements of music copyright infringement.

Yuchen Yuan, Sho Oishi, Charles Cronin, Daniel Müllensiefen, Quentin D. Atkinson, Shinya Fujii, Patrick E. Savage

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2017

Metacognitive ability correlates with hippocampal and prefrontal microstructure.

Micah Allen, James C. Glen, Daniel Müllensiefen, Dietrich Samuel Schwarzkopf, Francesca Fardo, Darya Frank, Martina F. Callaghan, Geraint Rees

NeuroImage, 2017

Information-Theoretic Measures Predict the Human Judgment of Rhythm Complexity.

Remi de Fleurian, Tim Blackwell, Oded Ben-Tal, Daniel Müllensiefen

Cogn. Sci., 2017

2016

Instrumental Idiom in the 16th Century: Embellishment Patterns in Arrangements of Vocal Music.

David Lewis, Tim Crawford, Daniel Müllensiefen

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015

Corpus Analysis Tools for Computational Hook Discovery.

Jan Van Balen, John Ashley Burgoyne, Dimitrios Bountouridis, Daniel Müllensiefen, Remco C. Veltkamp

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014

Recognition of Leitmotives in Richard Wagner's Music: An Item Response Theory Approach.

Daniel Müllensiefen, David J. Baker, Christophe Rhodes, Tim Crawford, Laurence Dreyfus

Proceedings of the Analysis of Large and Complex Data, 2014

2012

Towards Cross-Version Harmonic Analysis of Music.

Sebastian Ewert, Meinard Müller, Verena Konz, Daniel Müllensiefen, Geraint A. Wiggins

IEEE Trans. Multim., 2012

Perceptual Dimensions of Short Audio Clips and Corresponding Timbre Features.

Jason Jiri Musil, Budr Elnusairi, Daniel Müllensiefen

Proceedings of the From Sounds to Music and Emotions - 9th International Symposium, 2012

2010

Melodic Grouping in Music Information Retrieval: New Methods and Applications.

Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins

Proceedings of the Advances in Music Information Retrieval, 2010

2009

Case Study "Beatles Songs" - What can be Learned from Unreliable Music Alignments?

Sebastian Ewert, Meinard Müller, Daniel Müllensiefen, Michael Clausen, Geraint A. Wiggins

Proceedings of the Knowledge Representation for Intelligent Music Processing, 25.01., 2009

2008

A Comparison of Statistical and Rule-Based Models of Melodic Segmentation.

Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins

Proceedings of the ISMIR 2008, 2008

2007

Classification in music research.

Claus Weihs, Uwe Ligges, Fabian Mörchen, Daniel Müllensiefen

Adv. Data Anal. Classif., 2007

Evaluating a Chord-Labelling Algorithm.

Daniel Müllensiefen, David Lewis, Christophe Rhodes, Geraint A. Wiggins

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Methodological Considerations in Studies of Musical Similarity.

Hamish Allan, Daniel Müllensiefen, Geraint A. Wiggins

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

2006

Evaluating Different Approaches to Measuring the Similarity of Melodies.

Daniel Müllensiefen, Klaus Frieler

Proceedings of the Data Science and Classification, 2006

2005

Modeling Memory for Melodies.

Daniel Müllensiefen, Christian Hennig

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004

Optimizing Measures Of Melodic Similarity For The Exploration Of A Large Folk Song Database.

Daniel Müllensiefen, Klaus Frieler

Proceedings of the ISMIR 2004, 2004