Content-based audio retrieval with relevance feedback
In this paper, we have proposed two relevance feedback algorithms for content-based audio retrieval. One is a modified version of a technique used for image retrieval with positive feedback; another is based on a constrained optimization concept. Experiments show that the latter approach can yield similar performance improvement to the former and it has the advantage of utilizing both negative and positive feedback in a unified approach.
content-based audio retrieval relevance feedback query-by-example feature extraction