Music Identification Using Chroma Features

نویسندگان

  • Adrian Iftene
  • Andrei Rusu
  • Alexandra Leahu
چکیده

In this paper some specific issues related to Music Information Retrieval (MIR) are presented. First part is dedicated to introductive notions from this field in the field, and second part is dedicated to giving details about the system we built for MusiCLEF 2011. An important aspect related to our work is related to searching metrics able to allow us to identify an audio recording in a database with existing songs. Our system uses chroma features associated to a song and apply on it many types of metrics. Some of these metrics wants to find more accurate song of which part of that fragment belong to and other metrics are used to enable us to do this as quickly as possible.

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تاریخ انتشار 2011