Abstract:

Cover songs identification has been a major topic in the field of music similarity computing for a long time. A new idea of using the music phrase content to identify coves songs was proposed by analyzing the music harmony feature-Chroma and its distribution. The key normalization, structure segmentation and feature extraction were used to manipulate the cover songs of the collected data sets. Then several distance matrixes, including EMD distance matrix, Euclidean distance matrix and Cosine distance matrix, etc, were compared to compute music similarities after feature dimension reduction. The result is better than MIREX2011′s cover songs identification results.

Key words: music information retrieval; cover songs identification; music similarity computation