Index of DH Conferences

Current filter is returning 2 out of 8823 works

Creating New Music with Big Data and Evolutionary Algorithms

Full text is public

Work type: lightning talk

Jeffrey A T Lupker, William J Turkel

Keywords: artificial intelligence Big Data Music Musical Composition Music Theory

Topics: artificial intelligence and machine learning contemporary english europe humanities computing music and sound digitization, encoding, and analysis musicology north america

Languages: English

Presented at ADHO - 2020 - Ottawa - Carleton University / Université d'Ottawa (University of Ottawa)
Rhythmic, Melodic and Vertical N-Gram Features as a Means of Studying Symbolic Music Computationally

Full text indexed

Work type: paper, specified "short paper"

Cory McKay, Julie Cumming, Ichiro Fujinaga

Keywords: automated analysis features machine learning musicology Music Theory

Topics: artificial intelligence and machine learning attribution studies and stylometric analysis computer science library & information science manuscripts description, representation, and analysis music and sound digitization, encoding, and analysis musicology statistics

Languages: English

Presented at ADHO - 2023 - Graz - Karl-Franzens Universität Graz (University of Graz)

Filter

Ordering

Text

Search abstracts by title and by full text content when available. Search will look for all terms by default. Use OR to look for any terms in the query, and quotation marks to search for exact phrases.

Conference

The conference where this abstract was submitted/published.

Full text has been indexed

Full text is publicly viewable

Work type

Abstracts may belong to one type that has been defined by editors based on a survey of all the abstracts in this collection, e.g. "poster", "workshop", "long paper".

Author

Abstract authorship must include this person

Institution

Works having at least one author belonging to ANY of the selected institutions.

Affiliation

Works having at least one author belonging to a specific department or other center within a larger institution.

Keywords

Optional keywords that are supplied by authors during submission. (Matches ANY of the keywords)

Languages

The language(s) of the text of an abstract (not to be confused with e.g. 'English' as a keyword, where the topic of the abstract concerns English.) (Matches ANY of the languages)

Topics

Optional topics from a conference-specific controlled vocabulary. (Matches ANY of the topics)

Reset

Works search results

Creating New Music with Big Data and Evolutionary Algorithms

Rhythmic, Melodic and Vertical N-Gram Features as a Means of Studying Symbolic Music Computationally