On application of image analysis and natural language processing for music search

Grzegorz Gwardys

doi:10.1117/12.2035450

25 October 2013 On application of image analysis and natural language processing for music search

Grzegorz Gwardys

Proceedings Volume 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013; 89030Z (2013) https://doi.org/10.1117/12.2035450
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 2013, Wilga, Poland

Abstract

In this paper, I investigate a problem of finding most similar music tracks using, popular in Natural Language Processing, techniques like: TF-IDF and LDA. I de ned document as music track. Each music track is transformed to spectrogram, thanks that, I can use well known techniques to get words from images. I used SURF operation to detect characteristic points and novel approach for their description. The standard kmeans was used for clusterization. Clusterization is here identical with dictionary making, so after that I can transform spectrograms to text documents and perform TF-IDF and LDA. At the final, I can make a query in an obtained vector space. The research was done on 16 music tracks for training and 336 for testing, that are splitted in four categories: Hiphop, Jazz, Metal and Pop. Although used technique is completely unsupervised, results are satisfactory and encouraging to further research.

Citation Download Citation

Grzegorz Gwardys "On application of image analysis and natural language processing for music search", Proc. SPIE 8903, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2013, 89030Z (25 October 2013); https://doi.org/10.1117/12.2035450

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KEYWORDS

Associative arrays

Image processing

Metals

Feature extraction

Image analysis

Image segmentation

Neodymium

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