An Extensive Analysis of Query by Singing/Humming System Through Query Proportion

Query by Singing/Humming (QBSH) is a Music Information Retrieval (MIR) system with small audioexcerpt as query. The rising availability of digital music stipulates effective music retrieval methods.Further, MIR systems support content based searching for music and requires no musical acquaintance.Current work on QBSH focuses mainly on melody features such as pitch, rhythm, note etc., size ofdatabases, response time, score matching and search algorithms. Even though a variety of QBSHtechniques are proposed, there is a dearth of work to analyze QBSH through query excerption. Here, wepresent an analysis that works on QBSH through query excerpt. To substantiate a series of experiments areconducted with the help of Mel-Frequency Cepstral Coefficients (MFCC), Linear Predictive Coefficients(LPC) and Linear Predictive Cepstral Coefficients (LPCC) to portray the robustness of the knowledgerepresentation. Proposed experiments attempt to reveal that retrieval performance as well as precisiondiminishes in the snail phase with the growing database size.