DeepAI AI Chat
Log In Sign Up

Genre-Agnostic Key Classification With Convolutional Neural Networks

08/16/2018
by   Filip Korzeniowski, et al.
0

We propose modifications to the model structure and training procedure to a recently introduced Convolutional Neural Network for musical key classification. These modifications enable the network to learn a genre-independent model that performs better than models trained for specific music styles, which has not been the case in existing work. We analyse this generalisation capability on three datasets comprising distinct genres. We then evaluate the model on a number of unseen data sets, and show its superior performance compared to the state of the art. Finally, we investigate the model's performance on short excerpts of audio. From these experiments, we conclude that models need to consider the harmonic coherence of the whole piece when classifying the local key of short segments of audio.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/28/2019

Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation

We present in this paper PerformacnceNet, a neural network model we prop...
02/27/2018

Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification

Music genre classification is one example of content-based analysis of m...
06/29/2017

Transforming Musical Signals through a Genre Classifying Convolutional Neural Network

Convolutional neural networks (CNNs) have been successfully applied on b...
11/08/2018

Learning Disentangled Representations for Timber and Pitch in Music Audio

Timbre and pitch are the two main perceptual properties of musical sound...
01/31/2021

Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks

The identification of structural differences between a music performance...
08/01/2020

Score-informed Networks for Music Performance Assessment

The assessment of music performances in most cases takes into account th...
10/27/2021

Exploring single-song autoencoding schemes for audio-based music structure analysis

The ability of deep neural networks to learn complex data relations and ...