activity
20192023
most citedCross-Modal Music Retrieval and Applications: An Overview of Key Methodologies

64 citations · 91 across the 9 of their papers we have counts for

collaborators

9 papers

eess.AS2023

Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music

Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2

To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for t…

eess.AS2023

Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets

Johannes Zeitler, Simon Deniffel, Michael Krause +1

Soft dynamic time warping (SDTW) is a differentiable loss function that allows for training neural networks from weakly aligned data. Typically, SDTW is used to iteratively compute…

eess.AS2022★ 4 cited

An Analysis Method for Metric-Level Switching in Beat Tracking

Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2

For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail…

cs.SD2021★ 3 cited

Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer

Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow +2

Attention-based Transformer models have been increasingly employed for automatic music generation. To condition the generation process of such a model with a user-specified sequenc…

eess.AS2021

Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

Jakob Abeßer, Meinard Müller

The deployment of machine listening algorithms in real-life applications is often impeded by a domain shift caused for instance by different microphone characteristics. In this pap…

eess.AS2020

Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching

Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller +1

The performance of machine learning algorithms is known to be negatively affected by possible mismatches between training (source) and test (target) data distributions. In fact, th…

cs.MM2020★ 7 cited

MIDI-Sheet Music Alignment Using Bootleg Score Synthesis

Thitaree Tanprasert, Teerapat Jenrungrot, Meinard Mueller +1

MIDI-sheet music alignment is the task of finding correspondences between a MIDI representation of a piece and its corresponding sheet music images. Rather than using optical music…

cs.SD2019★ 13 cited

Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters

Hendrik Schreiber, Meinard Müller

In this article we explore how the different semantics of spectrograms' time and frequency axes can be exploited for musical tempo and key estimation using Convolutional Neural Net…

cs.IR2019★ 64 cited

Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies

Meinard Müller, Andreas Arzt, Stefan Balke +2

There has been a rapid growth of digitally available music data, including audio recordings, digitized images of sheet music, album covers and liner notes, and video clips. This hu…