66 citations · 244 across the 18 of their papers we have counts for
5 papers · 1 filter
Deep Within-Class Covariance Analysis for Robust Audio Representation Learning
Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer
Convolutional Neural Networks (CNNs) can learn effective features, though have been shown to suffer from a performance drop when the distribution of the data changes from training…
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment
Matthias Dorfer, Andreas Arzt, Gerhard Widmer
This work addresses the problem of matching short excerpts of audio with their respective counterparts in sheet music images. We show how to employ neural network-based cross-modal…
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer +1
In Acoustic Scene Classification (ASC) two major approaches have been followed . While one utilizes engineered features such as mel-frequency-cepstral-coefficients (MFCCs), the oth…
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer +2
Automated music playlist generation is a specific form of music recommendation. Generally stated, the user receives a set of song suggestions defining a coherent listening session.…
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss
Matthias Dorfer, Jan Schlüter, Andreu Vall +2
Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a different type than the search query, e.g., retrieving pictures relevant to a given text query…