Music Information Retrieval: An Example of Bates’ Substrate?

2013 ◽  
Author(s):  
Richard P. Smiraglia
Keyword(s):  
Information Retrieval ◽  
Cultural Diversity ◽  
Computer Science ◽  
Music Information Retrieval ◽  
Music Information ◽  
Conference Papers ◽  
Thematic Coherence

Music Information Retrieval (MIR), and ISMIR annual conferences offer a rich panoply of intellectual and cultural diversity. We map the evolution of MIR using conference papers from 2000 through 2005. Results indicate tight thematic coherence in the domain around the problems of information retrieval and classification, and the locus of most research within computer science departments.Les conférences annuelles sur le repérage d'information musicale (MIR) et ISMIR offrent une riche panoplie de diversité culturelle et intellectuelle. Nous traçons le portrait de l'évolution du repérage d'information musicale en utilisant les communications des conférences de 2000 par 2005. Les résultats indiquent une correspondance thématique étroite dans le domaine touchant les problèmes de repérage et de classification d'information et dans la position de la plupart des recherches des départements d'informatique. 

Music Information Retrieval

2011 ◽  
pp. 1396-1402 ◽  
Author(s):  
Alicja A. Wieczorkowska
Keyword(s):  
Information Retrieval ◽  
Cognitive Psychology ◽  
Computer Science ◽  
Digital Libraries ◽  
Information Science ◽  
Music Information Retrieval ◽  
Traditional Music ◽  
Business Engineering ◽  
Music Information

Music information retrieval (MIR) is a multi-disciplinary research on retrieving information from music, see Fig. 1. This research involves scientists from traditional, music and digital libraries, information science, computer science, law, business, engineering, musicology, cognitive psychology and education (Downie, 2001).

Redefining the “S” in ISMIR: Visualizing the Evolution of a Domain

2013 ◽  
Author(s):  
Richard P. Smiraglia
Keyword(s):  
Information Retrieval ◽  
Citation Analysis ◽  
Music Information Retrieval ◽  
Formal Structure ◽  
Journal Articles ◽  
Music Information ◽  
Conference Papers

Music Information Retrieval is an evolving and highly productive domain. In 2008 the domain assumed the formal structure of a named society of scholars. Visualization of the domain occurs through author co-citation analysis of conference papers and journal articles from 2000 to 2008.La recherche documentaire en musique est un domaine très productif en évolution. En 2008, les chercheurs oeuvrant dans le domaine se sont regroupés en une société formelle. La visualisation du domaine est possible grâce à l'analyse de co-citation des articles de conférence et d'articles de revues scientifiques publiés de 2000 à 2008. 

Music Information Retrieval

2011 ◽  
pp. 854-858
Author(s):  
Alicja A. Wieczorkowska
Keyword(s):  
Information Retrieval ◽  
Cognitive Psychology ◽  
Computer Science ◽  
Digital Libraries ◽  
Information Science ◽  
Music Information Retrieval ◽  
Traditional Music ◽  
Business Engineering ◽  
Music Information

Music information retrieval is a multi-disciplinary research on retrieving information from music. This research involves scientists from traditional, music, and digital libraries; information science; computer science; law; business; engineering; musicology; cognitive psychology; and education (Downie, 2001).

scholarly journals Can the application of certain music information retrieval methods contribute to the machine learning classification of electrocardiographic signals?

Heliyon ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e06257
Author(s):  
Ennio Idrobo-Ávila ◽  
Humberto Loaiza-Correa ◽  
Rubiel Vargas-Cañas ◽  
Flavio Muñoz-Bolaños ◽  
Leon van Noorden
Keyword(s):  
Machine Learning ◽  
Information Retrieval ◽  
Music Information Retrieval ◽  
Machine Learning Classification ◽  
Information Retrieval Methods ◽  
Music Information

Musical Features that Aid Sleep

2020 ◽  
pp. 102986492097216
Author(s):  
Gaelen Thomas Dickson ◽  
Emery Schubert
Keyword(s):  
Information Retrieval ◽  
Online Survey ◽  
Music Information Retrieval ◽  
Rhythmic Activity ◽  
Main Frequency ◽  
Middle Range ◽  
Major Mode ◽  
Information Retrieval Methods ◽  
Music Information ◽  
Selection Of

Background: Music is thought to be beneficial as a sleep aid. However, little research has explicitly investigated the specific characteristics of music that aid sleep and some researchers assume that music described as generically sedative (slow, with low rhythmic activity) is necessarily conducive to sleep, without directly interrogating this assumption. This study aimed to ascertain the features of music that aid sleep. Method: As part of an online survey, 161 students reported the pieces of music they had used to aid sleep, successfully or unsuccessfully. The participants reported 167 pieces, some more often than others. Nine features of the pieces were analyzed using a combination of music information retrieval methods and aural analysis. Results: Of the pieces reported by participants, 78% were successful in aiding sleep. The features they had in common were that (a) their main frequency register was middle range frequencies; (b) their tempo was medium; (c) their articulation was legato; (d) they were in the major mode, and (e) lyrics were present. They differed from pieces that were unsuccessful in aiding sleep in that (a) their main frequency register was lower; (b) their articulation was legato, and (c) they excluded high rhythmic activity. Conclusion: Music that aids sleep is not necessarily sedative music, as defined in the literature, but some features of sedative music are associated with aiding sleep. In the present study, we identified the specific features of music that were reported to have been successful and unsuccessful in aiding sleep. The identification of these features has important implications for the selection of pieces of music used in research on sleep.

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