Convolutional neural networks for music classification
E786388
"Convolutional neural networks for music classification" is a research work by Sander Dieleman that applies deep convolutional neural network architectures to automatically analyze and categorize music audio.
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
music information retrieval research
ⓘ
research work ⓘ scientific paper ⓘ |
| appliesTo | music audio analysis ⓘ |
| author | Sander Dieleman NERFINISHED ⓘ |
| comparesWith | hand-crafted audio features ⓘ |
| demonstrates | effectiveness of deep convolutional architectures for music tasks ⓘ |
| field |
audio signal processing
ⓘ
deep learning ⓘ machine learning ⓘ music information retrieval ⓘ |
| focusesOn |
automatic genre classification
ⓘ
automatic music tagging ⓘ music classification ⓘ supervised learning ⓘ |
| goal |
automatic analysis of music audio
ⓘ
automatic categorization of music audio ⓘ |
| hasAuthor | Sander Dieleman NERFINISHED ⓘ |
| inputRepresentation |
spectrograms
ⓘ
time–frequency representations of audio ⓘ |
| inputType | music audio ⓘ |
| language | English ⓘ |
| relatedTo |
audio content-based retrieval
ⓘ
automatic playlist generation ⓘ music recommendation systems ⓘ |
| topic |
end-to-end learning for music classification
ⓘ
representation learning from raw or minimally processed audio ⓘ |
| usesMethod | convolutional neural networks ⓘ |
Referenced by (1)
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