activity
20192022
most citedCross-Modal Music Retrieval and Applications: An Overview of Key Methodologies

64 citations · 88 across the 6 of their papers we have counts for

collaborators

5 papers

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.MM20207 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.SD201913 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.IR201964 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…