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Pitch Histograms in Audio and Symbolic Music Information Retrieval

Bibliographic Data

ID5304696
AuthorsGeorge Tzanetakis (0000-0002-6844-7912), Andrey Ermolinskyi (corresponding author), Perry R Cook, Perry Cook
Year2003
Volume32
Issue2
Pages143-152
Publication date2003-06-01
Open AccessNo
TypeARTICLE
VenueJournal of New Music Research (JOURNAL)
Journal identifiersISSN: 0929-8215 • E-ISSN: 1744-5027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1076/jnmr.32.2.143.16743
OpenAlexW1607425652
LanguageEN
Citations received7
References cited2

In order to represent musical content, pitch and timing information is utilized in the majority of existing work in Symbolic Music Information Retrieval (MIR). Symbolic representations such as MIDI allow the easy calculation of such information and its manipulation. In contrast, most of the existing work in Audio MIR uses timbral and beat information, which can be calculated using automatic computer audition techniques

Acoustics · Audio signal · Histogram · MIDI · Music Information Retrieval · Musical · Pitch detection algorithm · Polyphony · Speech coding · Speech processing · Speech recognition · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Speech and Audio Processing · Artificial Intelligence

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Citations per year0.37
Citation span2007 - 2025 (19)
Highly citedNo

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