Combining Chroma Features For Cover Version Identification

نویسنده

  • Teppo E. Ahonen
چکیده

We present an approach for cover version identification which is based on combining different discretized features derived from the chromagram vectors extracted from the audio data. For measuring similarity between features, we use a parameter-free quasi-universal similarity metric which utilizes data compression. Evaluation proves that combined feature distances increase the accuracy in cover version identification.

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تاریخ انتشار 2010