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Found 8 papers, 0 papers with code
Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval
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 recordings, that is, identifying pairs of audio and score excerpts that refer to the same musical content.
Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems
We then conclude by arguing for the potential of self-supervised contrastive learning for alleviating the annotated data scarcity in multi-modal music retrieval models.
Passage Summarization with Recurrent Models for Audio-Sheet Music Retrieval
Many applications of cross-modal music retrieval are related to connecting sheet music images to audio recordings.
Soft-SVM Regression For Binary Classification
In this work, we introduce a new exponential family based on a convex relaxation of the hinge loss function using softness and class-separation parameters.
Deviance Matrix Factorization
We investigate a general matrix factorization for deviance-based data losses, extending the ubiquitous singular value decomposition beyond squared error loss.
Exploiting Temporal Dependencies for Cross-Modal Music Piece Identification
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 versa, working directly with audio and scanned sheet music images.
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
Quantitative and qualitative results on synthesized piano data indicate that this attention increases the robustness of the retrieval system by focusing on different parts of the input representation based on the tempo of the audio.
