Even though there is a rapidly growing corpus of available music recordings, there is still a lack of audio contentbased retrieval systems allowing to explore large music collections without manually generated annotations. In this context, the query-by-example paradigm is commonplace: given an audio recording or a fragment of it (used as query or example), the task is to automatically retrieve all documents from a given music collection containing parts or aspects that are similar to it. Here, the notion of similarity used to compare different audio recordings (or fragments) is of crucial importance, and largely depends on the application in mind as well as the user requirements. In this tutorial, we present and discuss various contentbased retrieval tasks based on the query-by-example paradigm. More specifically, we consider audio identification
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