activity
20192023
most citedLearning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

4 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023

Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval

Luis Carvalho, Gerhard Widmer

A range of applications of multi-modal music information retrieval is centred around the problem of connecting large collections of sheet music (images) to corresponding audio reco…

cs.SD2023★ 4 cited

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…

cs.SD2023★ 3 cited

Passage Summarization with Recurrent Models for Audio-Sheet Music Retrieval

Luis Carvalho, Gerhard Widmer

Many applications of cross-modal music retrieval are related to connecting sheet music images to audio recordings. A typical and recent approach to this is to learn, via deep neura…

eess.AS2021

Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification

Luis Carvalho, Gerhard Widmer

This paper addresses the problem of cross-modal musical piece identification and retrieval: finding the appropriate recording(s) from a database given a sheet music query, and vice…

cs.IR2019★ 4 cited

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…