Score Following and Retrieval Based on Chroma and Octave Representation

With the studies of effective representation of music signals and music scores, i.e. chroma and octave features, this work conducts score following and score retrieval. To complement the shortage of chromagram representation, energy distributions in different octaves are used to describe tone height information. By transforming music signals and scores into sequences of feature vectors, score following is transformed as a sequence matching problem, and is solved by the dynamic time warping (DTW) algorithm. To conduct score retrieval, we modify the backtracking step of DTW to determine multiple partial matchings between the query and a score. Experimental results show the effectiveness of the proposed features and the feasibility of the modified DTW algorithm in score retrieval.