Future MIR systems will be of great use and pleasure for potential users. If researchers have a clear picture about their “customers” in mind they can aim at building and eval...
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
In this paper we present a fast and efficient match algorithm, which consists of two key techniques: Spectral Correlation Based Feature Merge(SCBFM) and Two-Step Retrieval(TSR). ...
With the explosive growth of digital music, content-based music information retrieval especially query by humming/singing have been attracting more and more attention and are beco...