Demo Data from SIGIR 2026 / reviewers in the wild / expert
Daniel Müllensiefen
dblp:56/2824
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › music information retrieval
music alignment |
0.1 | 1 | 2012 | Towards Cross-Version Harmonic Analysis of Music · IEEE Trans. Multim. 2012 |
Methods — techniques the papers use, named apart from their topics
late fusion · 0.1dynamic time warping · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 |
CogSci | 2 |
| 2012 | Towards Cross-Version Harmonic Analysis of MusicabstractFor a given piece of music, there often exist multiple versions belonging to the symbolic (e.g., MIDI representations), acoustic (audio recordings), or visual (sheet music) domain. Each type of information allows for applying specialized, domain-specific approaches to music analysis tasks. In this paper, we formulate the idea of a cross-version analysis for comparing and/or combining analysis results from different representations. As an example, we realize this idea in the context of harmonic analysis to automatically evaluate MIDI-based chord labeling procedures using annotations given for corresponding audio recordings. To this end, one needs reliable synchronization procedures that automatically establish the musical relationship between the multiple versions of a given piece. This becomes a hard problem when there are significant local deviations in these versions. We introduce a novel late-fusion approach that combines different alignment procedures in order to identify reliable parts in synchronization results. Then, the cross-version comparison of the various chord labeling results is performed only on the basis of the reliable parts. Finally, we show how inconsistencies in these results across the different versions allow for a quantitative and qualitative evaluation, which not only indicates limitations of the employed chord labeling strategies but also deepens the understanding of the underlying music material. Sebastian Ewert, Meinard Müller, Verena Konz, Daniel Müllensiefen, Geraint A. Wiggins |
IEEE Trans. Multim. | 4 |