221 citations · 1k across the 103 of their papers we have counts for
13 papers · 1 filter
Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems
Luis Carvalho, Tobias Washüttl, Gerhard Widmer
Linking sheet music images to audio recordings remains a key problem for the development of efficient cross-modal music retrieval systems. One of the fundamental approaches toward…
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model
Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
Research in natural language processing has demonstrated that the quality of generations from trained autoregressive language models is significantly influenced by the used samplin…
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets
Paul Primus, Khaled Koutini, Gerhard Widmer
This work presents a text-to-audio-retrieval system based on pre-trained text and spectrogram transformers. Our method projects recordings and textual descriptions into a shared au…
Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features
Emmanouil Karystinaios, Gerhard Widmer
Roman Numeral analysis is the important task of identifying chords and their functional context in pieces of tonal music. This paper presents a new approach to automatic Roman Nume…
Predicting Music Hierarchies with a Graph-Based Neural Decoder
Francesco Foscarin, Daniel Harasim, Gerhard Widmer
This paper describes a data-driven framework to parse musical sequences into dependency trees, which are hierarchical structures used in music cognition research and music analysis…
Device-Robust Acoustic Scene Classification via Impulse Response Augmentation
Tobias Morocutti, Florian Schmid, Khaled Koutini +1
The ability to generalize to a wide range of recording devices is a crucial performance factor for audio classification models. The characteristics of different types of microphone…