Music Genre Recognition
6 papers with code • 2 benchmarks • 0 datasets
Recognizing the genre (e.g. rock, pop, jazz, etc.) of a piece of music.
Latest papers
Wasserstein Barycenter for Multi-Source Domain Adaptation
eddardd/WBTransport
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CVPR 2021
To overcome the challenges posed by this learning scenario, we propose a method for constructing an intermediate domain between sources and target domain, the Wasserstein Barycenter Transport (WBT).
Client-driven Animated GIF Generation Framework Using an Acoustic Feature
The proposed method retrieves and uses the audio file and video segment so that communication and storage efficiencies are improved in the GIF generation process.
Learning Discrete Structures for Graph Neural Networks
lucfra/LDS-GNN
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With this work, we propose to jointly learn the graph structure and the parameters of graph convolutional networks (GCNs) by approximately solving a bilevel program that learns a discrete probability distribution on the edges of the graph.
Machine learning and chord based feature engineering for genre prediction in popular Brazilian music
We found that features extracted from harmonic elements can satisfactorily predict music genre for the Brazilian case, as well as features obtained from the Spotify API.
Bottom-up Broadcast Neural Network For Music Genre Classification
Music genre recognition based on visual representation has been successfully explored over the last years.
Learning to Recognize Musical Genre from Audio
mdeff/fma
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We here summarize our experience running a challenge with open data for musical genre recognition.
