Application of Segmentation and Thumbnailing to Music Browsing and Searching
We present a method for segmenting musical audio into structural sections, and some rules for choosing a representative 'thumbnail' segment. We demonstrate how audio thumbnails are an effective and natural way of returning results in music search applications. We investigate the use of segment-based models for music similarity searching and recommendation. We report experimental results of the performance and efficiency of these approaches in the context of SoundBite, a demonstration music thumbnailing and search engine.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.