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Poster Communications Year : 2018

A neural network for composer classification

Abstract

I present a neural network approach to automatically extract musical features from 20-second audio clips in order to predict their composer. The network is composed of three convolutional layers followed by a long short-term memory recurrent layer. The model reaches an accuracy of 70% on the validation set when classifying amongst 6 composers. The work represents the early stage of a project devoted to automatic feature detection and visualization.
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hal-01879276 , version 1 (22-09-2018)

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  • HAL Id : hal-01879276 , version 1

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Gianluca Micchi. A neural network for composer classification. International Society for Music Information Retrieval Conference (ISMIR 2018), 2018, Paris, France. ⟨hal-01879276⟩
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