Stability Improvement of Indirect Matching for Music Information Retrieval

Abstract

This paper reports improvement of indirect matching, which is a fast CBMIR (content-based music information retrieval) framework proposed in our previous study. Indirect matching achieves fast retrieval by combining offline search with representative queries and online quick similarity estimation based on the results of the offline search. We have found that the retrieval accuracy of indirect matching decreases when representative queries have little variation. This paper proposes a method for selecting representative queries having wide variation. To ensure wide variation between representative queries, the proposed method combines MDS (multi-dimensional scaling) and Ward's clustering. Experimental results have shown that the retrieval accuracy of indirect matching can be stabilized by the proposed method.