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Signal Processing for Music Analysis (2011)
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BibTeX
@MISC{Müller11signalprocessing,
author = {Meinard Müller and Daniel P. W. Ellis and Anssi Klapuri and Gaël Richard},
title = {Signal Processing for Music Analysis},
year = {2011}
}
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Abstract
Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations originally developed for speech have been applied to music, often with good results. However, music signals possess specific acoustic and structural characteristics that distinguish them from spoken language or other nonmusical signals. This paper provides an overview of some signal analysis techniques that specifically address musical dimensions such as melody, harmony, rhythm, and timbre. We will examine how particular characteristics of music signals impact and determine these techniques, and we highlight a number of novel music analysis and retrieval tasks that such processing makes possible. Our goal is to demonstrate that, to be successful, music audio signal processing techniques must be informed by a deep and thorough insight into the nature of music itself.
Keyphrases
music analysis signal processing musical dimension junior relation speech signal processing mature field good result music signal particular characteristic thorough insight music signal processing structural characteristic signal analysis technique nonmusical signal novel music analysis music signal impact music audio signal processing technique many technique retrieval task
