KOLMOGOROV COMPLEXITY IN LYRICS
Teppo AhonenAbstract
We examine how approximating Kolmogorov complexity in lyrics can be used for classification in music information retrieval. Using normalized compression distance as a similarity measure between lyrics, we perform various evaluations for large sets of lyrics spanning over several genres, lyricists and moods. Results suggest that straightforward compression-based similarity measuring can be applied to lyrics with competent performance.
Read Submission [124]