jLyrics

Overview

jLyrics is a set of software tools for automatically mining lyrics from the web and extracting features from the lyrics once they have been acquired. Although jLyrics has not yet been as neatly packaged as the other jMIR components, due to its status as a new project, it is nonetheless fully functional and available for use. jLyrics currently consists of the following three components:

Both one and multi-dimensional features can be extracted with jLyrics. Mined lyrics are saved as simple text files, and extracted features may be saved as ACE XML files.

Features Extracted

The following is a list of all of the features extracted by both the Java and Python parts of the jLyrics software:

Related Publications

McKay, C., J. A. Burgoyne, J. Hockman, J. B. L. Smith, G. Vigliensoni, and I. Fujinaga. 2010. Evaluating the genre classification performance of lyrical features relative to audio, symbolic and cultural features. Proceedings of the International Society for Music Information Retrieval Conference. 213–8.

McKay, C. 2010. Automatic music classification with jMIR. Ph.D. Thesis. McGill University, Canada.

Questions and Comments

cory.mckay@mail.mcgill.ca

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