6 citations · 14 across the 4 of their papers we have counts for
5 papers
Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN
Anders Elowsson, Anders Friberg
This paper presents a convolutional neural network (CNN) that uses input from a polyphonic pitch estimation system to predict perceived minor/major modality in music audio. The pit…
Tempo-Invariant Processing of Rhythm with Convolutional Neural Networks
Anders Elowsson
Rhythm patterns can be performed with a wide variation of tempi. This presents a challenge for many music information retrieval (MIR) systems; ideally, perceptually similar rhythms…
Deep Layered Learning in MIR
Anders Elowsson
Deep learning has boosted the performance of many music information retrieval (MIR) systems in recent years. Yet, the complex hierarchical arrangement of music makes end-to-end lea…
Polyphonic Pitch Tracking with Deep Layered Learning
Anders Elowsson
This paper presents a polyphonic pitch tracking system able to extract both framewise and note-based estimates from audio. The system uses several artificial neural networks in a d…
Using perceptually defined music features in music information retrieval
Anders Friberg, Erwin Schoonderwaldt, Anton Hedblad +2
In this study, the notion of perceptual features is introduced for describing general music properties based on human perception. This is an attempt at rethinking the concept of fe…