66 citations · 212 across the 13 of their papers we have counts for
13 papers
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification
Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner +3
Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning. We study this problem in th…
Learning Complex Basis Functions for Invariant Representations of Audio
Stefan Lattner, Monika Dörfler, Andreas Arzt
Learning features from data has shown to be more successful than using hand-crafted features for many machine learning tasks. In music information retrieval (MIR), features learned…
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
Stefan Balke, Matthias Dorfer, Luis Carvalho +2
Connecting large libraries of digitized audio recordings to their corresponding sheet music images has long been a motivation for researchers to develop new cross-modal retrieval s…
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…
Audio-to-Score Alignment using Transposition-invariant Features
Andreas Arzt, Stefan Lattner
Audio-to-score alignment is an important pre-processing step for in-depth analysis of classical music. In this paper, we apply novel transposition-invariant audio features to this…
The ACCompanion v0.1: An Expressive Accompaniment System
Carlos Cancino-Chacón, Martin Bonev, Amaury Durand +5
In this paper we present a preliminary version of the ACCompanion, an expressive accompaniment system for MIDI input. The system uses a probabilistic monophonic score follower to t…