Music Classification
21 papers with code • 0 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Music Classification
Libraries
Use these libraries to find Music Classification models and implementationsDatasets
MagnaTagATune
EMOPIA
JS Fake Chorales
Latest papers with no code
Multi-view Audio and Music Classification
The learned embedding in the subnetworks are then concatenated to form the multi-view embedding for classification similar to a simple concatenation network.
Multi-Task Self-Supervised Pre-Training for Music Classification
Deep learning is very data hungry, and supervised learning especially requires massive labeled data to work well.
Audio Content Analysis
With a focus on Music Information Retrieval systems, this chapter defines musical audio content, introduces the general process of audio content analysis, and surveys basic approaches to audio content analysis.
Large-Scale MIDI-based Composer Classification
Music classification is a task to classify a music piece into labels such as genres or composers.
Music Style Classification with Compared Methods in XGB and BPNN
Scientists have used many different classification methods to solve the problem of music classification.
Lukthung Classification Using Neural Networks on Lyrics and Audios
Lukthung, a distinctive and long-established type of Thai music, is one of the most popular music genres in Thailand and has a specific group of listeners.
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging
Music classification and tagging is conducted through categorical supervised learning with a fixed set of labels.
Multi-scale Embedded CNN for Music Tagging (MsE-CNN)
Convolutional neural networks (CNN) recently gained notable attraction in a variety of machine learning tasks: including music classification and style tagging.
A Music Classification Model based on Metric Learning and Feature Extraction from MP3 Audio Files
This work proposes a novel music classification model based on metric learning and feature extraction from MP3 audio files.
Audio Classification of Bit-Representation Waveform
In our experiment, we compare the proposed bit representation waveform, which is directly given to a neural network, to other representations of audio waveforms such as a raw audio waveform and a power spectrum with two classification tasks: one is an acoustic event classification task and the other is a sound/music classification task.
