Opera (i)

Brown, Howard Mayer; Rosand, Ellen; Strohm, Reinhard; Noiray, Michel; Parker, Roger; Whittall, Arnold; Savage, Roger; Millington, Barry

doi:10.1093/gmo/9781561592630.article.40726

Cited by 5 publications

(2 citation statements)

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“…Closely following (Zalkow et al, 2017a), we outline the particular role of the Ring within music history. Western opera originated in late 16th-century Florence and evolved as an important musical genre (Brown et al, 2001). In the context of theories about ancient Greek drama, accompanied singing (denoted as monody) attained a central role, thus providing the basis for two central singing styles of traditional opera: speech-like recitatives as a compositional device for developing the plot and cantable arias for expressing emotions.…”

Section: Background and Related Workmentioning

confidence: 99%

Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology

Weiß,

Arifi-Müller,

Krause

et al. 2023

Transactions of the International Society for Music Information Retrieval

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This paper introduces the Wagner Ring Dataset (WRD), a multi-modal and multiversion resource on the large-scale opera cycle Der Ring des Nibelungen by Richard Wagner. The Ring comprises four music dramas organized into eleven acts and 21 939 measures in total. Concerning sheet music, we processed a publicly available piano reduction (822 pages) of the full score with optical music recognition followed by extensive manual corrections to create a high-quality, machine-readable symbolic score. Concerning audio data, our corpus covers 16 recorded performances of the full Ring (three of which are publicly available thanks to copyright expiry), each lasting about 14-15 hours. To musically synchronize these versions among each other, we manually annotated all measure positions for three performances, which we transferred to the remaining performances via automated synchronization techniques. The dataset further comprises annotations of key and time signatures, scenes, and singing voice regions (libretto). Moreover, we provide note event annotations for all performances derived from the piano score. The WRD thus constitutes a comprehensive resource for developing algorithms for various music information retrieval tasks, complementing existing datasets with a complex opera scenario. For computational musicology, the WRD serves as a structured dataset that allows for studying the composition and performances of the Ring.

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Section: Background and Related Workmentioning

confidence: 99%

Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology

Weiß,

Arifi-Müller,

Krause

et al. 2023

Transactions of the International Society for Music Information Retrieval

View full text Add to dashboard Cite

show abstract

“…During the following centuries, other types of symbols were introduced addressing directly the performer towards peculiar colors, or sentiment(s). At the crossing of the 16th and 17th cen., Opera was born in Italy, after a long tradition of plays, including Greek drama, medieval entertainers and renaissance popular plays (both liturgic and profane) [2]. The tremendous success of the Opera in Italy and then in the rest of Europe, determined a fundamental way to connect music and visual arts for the future centuries.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Music Information Processing and Retrieval: Survey and Future Challenges

Simonetta

Ntalampiras

Avanzini

2019

2019 International Workshop on Multilayer Music Representation and Processing (MMRP)

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Towards improving the performance in various music information processing tasks, recent studies exploit different modalities able to capture diverse aspects of music. Such modalities include audio recordings, symbolic music scores, midlevel representations, motion and gestural data, video recordings, editorial or cultural tags, lyrics and album cover arts. This paper critically reviews the various approaches adopted in Music Information Processing and Retrieval, and highlights how multimodal algorithms can help Music Computing applications. First, we categorize the related literature based on the application they address. Subsequently, we analyze existing information fusion approaches, and we conclude with the set of challenges that Music Information Retrieval and Sound and Music Computing research communities should focus in the next years.

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Orthogonality, dependency, and music: An exploration of the relationships between music facets

Lee

Robinson

Bawden

2020

Asso for Info Science & Tech

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The classification of Western art music is a complex area of knowledge organization, yet the reasons for those complexities have not been fully studied. This article dissects the concept of orthogonality, in particular regard to music classification. Orthogonality (antonym: dependency) means that one facet acts independently from another facet. While orthogonality is an assumed quality of facets, it has attracted relatively little attention in knowledge organization discourse. This article utilizes bibliographic classification schemes, musicological writings, and musical works, to analyse orthogonality in music classification. The relationships between the medium, form/genre and function facets are unpicked and a strong dependency is found between these facets. Whether this orthogonality exists as a construct of faceted classification or stems from the domain knowledge is explored. Furthermore, the analysis initiates new thinking about the general concept of orthogonality. The idea of a spectrum of dependency is proposed. In addition, novel, orthogonalityderived phenomena are discussed-"dynamic facets" and "meta-dependency"-where the boundary between what is and is not a facet are blurred. The concluding model visualizes the chain of dependencies between music facets, ultimately showing how the lack of orthogonality plays a key role in the complexity and issues found in music classification.

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Opera (i)

Cited by 5 publications

References 0 publications

Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology

Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology

Multimodal Music Information Processing and Retrieval: Survey and Future Challenges

Orthogonality, dependency, and music: An exploration of the relationships between music facets

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