Finding structure in audio for music information retrieval

Bryan A Pardo

doi:10.1109/MSP.2006.1628889

Finding structure in audio for music information retrieval

Bryan A Pardo^*

^*Corresponding author for this work

Computer Science

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

In music information retrieval, query by example and automated source separation are two major problems. This paper describes the challenges inherent in musical query by examnple and describes systems that take very different approaches to the problem. Approaches to source separation in a musical context are outlined, again focusing on systems that take distinct approaches to the problem. Finally, future directions for DSP research are presented in the context of music information retrieval.

Original language	English (US)
Pages (from-to)	126-132
Number of pages	7
Journal	IEEE Signal Processing Magazine
Volume	23
Issue number	3
DOIs	https://doi.org/10.1109/MSP.2006.1628889
State	Published - May 2006

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2006.1628889

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title = "Finding structure in audio for music information retrieval",

abstract = "In music information retrieval, query by example and automated source separation are two major problems. This paper describes the challenges inherent in musical query by examnple and describes systems that take very different approaches to the problem. Approaches to source separation in a musical context are outlined, again focusing on systems that take distinct approaches to the problem. Finally, future directions for DSP research are presented in the context of music information retrieval.",

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AB - In music information retrieval, query by example and automated source separation are two major problems. This paper describes the challenges inherent in musical query by examnple and describes systems that take very different approaches to the problem. Approaches to source separation in a musical context are outlined, again focusing on systems that take distinct approaches to the problem. Finally, future directions for DSP research are presented in the context of music information retrieval.

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Finding structure in audio for music information retrieval

Abstract

ASJC Scopus subject areas

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