activity
20162026
most citedA Fully Convolutional Deep Auditory Model for Musical Chord Recognition

76 citations · 284 across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.SD2018★ 2 cited

Automatic Chord Recognition with Higher-Order Harmonic Language Modelling

Filip Korzeniowski, Gerhard Widmer

Common temporal models for automatic chord recognition model chord changes on a frame-wise basis. Due to this fact, they are unable to capture musical knowledge about chord progres…

cs.SD2018★ 10 cited

Genre-Agnostic Key Classification With Convolutional Neural Networks

Filip Korzeniowski, Gerhard Widmer

We propose modifications to the model structure and training procedure to a recently introduced Convolutional Neural Network for musical key classification. These modifications ena…

cs.SD2018★ 7 cited

Improved Chord Recognition by Combining Duration and Harmonic Language Models

Filip Korzeniowski, Gerhard Widmer

Chord recognition systems typically comprise an acoustic model that predicts chords for each audio frame, and a temporal model that casts these predictions into labelled chord segm…

cs.SD2018★ 13 cited

Evaluating language models of tonal harmony

David R. W. Sears, Filip Korzeniowski, Gerhard Widmer

This study borrows and extends probabilistic language models from natural language processing to discover the syntactic properties of tonal harmony. Language models come in many sh…

cs.LG2018

A Large-Scale Study of Language Models for Chord Prediction

Filip Korzeniowski, David R. W. Sears, Gerhard Widmer

We conduct a large-scale study of language models for chord prediction. Specifically, we compare N-gram models to various flavours of recurrent neural networks on a comprehensive d…