Using chord distance descriptors to enhance music information retrieval: student research abstract

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10360157" target="_blank" >RIV/00216208:11320/17:10360157 - isvavai.cz</a>

Výsledek na webu

<a href="http://dl.acm.org/citation.cfm?id=3019939" target="_blank" >http://dl.acm.org/citation.cfm?id=3019939</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3019612.3019939" target="_blank" >10.1145/3019612.3019939</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using chord distance descriptors to enhance music information retrieval: student research abstract

Popis výsledku v původním jazyce

Music Information Retrieval (MIR) is an established field that provides solutions to analyze, retrieve, classify, recommend, or visualize music. From many applications, however, only a fraction will provide results that are meaningful for musicians. Scoring functions may use descriptors that are difficult to describe for the end-user, and visualizations are often bound to signal aspects of music such as displaying waveform. We have developed a music analysis system which is based on music theory and contains visualizations meaningful for those interested in harmony aspects of music. Music is first segmented to chords by known techniques, providing the basis that musicians understand. From there, distances between chords are evaluated by a novel approach and new descriptors are formed, based on recent music theory studies. End-user can visualize the musical piece and find interesting sequences in a color temperature graph. While having the music visualized, user can retrieve similar musical pieces, understanding the similarity between the chord progressions.

Název v anglickém jazyce

Using chord distance descriptors to enhance music information retrieval: student research abstract

Popis výsledku anglicky

Music Information Retrieval (MIR) is an established field that provides solutions to analyze, retrieve, classify, recommend, or visualize music. From many applications, however, only a fraction will provide results that are meaningful for musicians. Scoring functions may use descriptors that are difficult to describe for the end-user, and visualizations are often bound to signal aspects of music such as displaying waveform. We have developed a music analysis system which is based on music theory and contains visualizations meaningful for those interested in harmony aspects of music. Music is first segmented to chords by known techniques, providing the basis that musicians understand. From there, distances between chords are evaluated by a novel approach and new descriptors are formed, based on recent music theory studies. End-user can visualize the musical piece and find interesting sequences in a color temperature graph. While having the music visualized, user can retrieve similar musical pieces, understanding the similarity between the chord progressions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Symposium on Applied Computing

ISBN

978-1-4503-4486-9

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

2

Strana od-do

963-964

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

Marrakech, Morocco

Datum konání akce

3. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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