221 citations · 1k across the 103 of their papers we have counts for
15 papers · 1 filter
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs
Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid +2
We present CP-JKU submission to MediaEval 2019; a Receptive Field-(RF)-regularized and Frequency-Aware CNN approach for tagging music with emotion/mood labels. We perform an invest…
A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music
Thassilo Gadermaier, Gerhard Widmer
Quantitative analysis of commonalities and differences between recorded music performances is an increasingly common task in computational musicology. A typical scenario involves m…
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
Florian Henkel, Rainer Kelz, Gerhard Widmer
The goal of score following is to track a musical performance, usually in the form of audio, in a corresponding score representation. Established methods mainly rely on computer-re…
Receptive-field-regularized CNN variants for acoustic scene classification
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
Acoustic scene classification and related tasks have been dominated by Convolutional Neural Networks (CNNs). Top-performing CNNs use mainly audio spectograms as input and borrow th…
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…
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks
Rainer Kelz, Gerhard Widmer
We explore a novel way of conceptualising the task of polyphonic music transcription, using so-called invertible neural networks. Invertible models unify both discriminative and ge…