Identifying polyphonic patterns from audio recordings using music segmentation techniques

Research output: Contribution to conferencePaper

Abstract

This paper presents a method for discovering patterns of note collections that repeatedly occur in a piece of music. We assume occurrences of these patterns must appear at least twice across a musical work and that they may contain slight differences in harmony, timbre, or rhythm. We describe an algorithm that makes use of techniques from the music information retrieval task of music segmentation, which exploits repetitive features in order to automatically identify polyphonic musical patterns from audio recordings. The novel algorithm is assessed using the recently published JKU Patterns Development Dataset, and we show how it obtains state-of-the-art results employing the standard evaluation metrics.

Original languageEnglish (US)
Pages41-416
Number of pages376
StatePublished - 2014
Event15th International Society for Music Information Retrieval Conference, ISMIR 2014 - Taipei, Taiwan, Province of China
Duration: Oct 27 2014Oct 31 2014

Conference

Conference15th International Society for Music Information Retrieval Conference, ISMIR 2014
CountryTaiwan, Province of China
CityTaipei
Period10/27/1410/31/14

ASJC Scopus subject areas

  • Music
  • Information Systems

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