クロマ類似度を用いた音楽データベースの圧縮<論文>

DOI IR

Description

type:text

We have developed a music retrieval system that takes a humming query and finds similar audio intervals (segments) in a musical audio database. This system enables a user to retrieve a segment of a musical audio signal desired just by singing its melody. In this paper, we propose a method to compress the music database through similarity analysis. The distance of chroma vectors is used as a similariity measeure.The aim of this compressin is to reduce the retrieval time. Practical experiments was conducted by actually using 115 musical audios in the RWC popular music database. We report that the compression ratio is about 45%.

Journal

Keywords

Details 詳細情報について

Report a problem

Back to top