Computer Music Query by Humming Considering Subsequence Matching Algorithm

Abstract

Facing massive music data, how to create its index in content-based retrieval to improve retrieval speed is a crucial research content. In the feature extraction from music content based on sentence and index creation, the subsequence matching algorithm of music melody is stored in the database. Database However, when users conduct query by humming (QBH), they may hum a piece of music containing multiple sentences for retrieval, which requires the generation of multiple sentence features. Hence, a solution to single sentence feature, multi-sentence conversion and matching is proposed and applied to the retrieval system, with an excellent retrieval effect. The relevant achievements are also applicable to the retrieval system of time series data with a similar structure.