Drama-Music Communication in Opera Performance

2021 ◽  
Vol 13 (62) (SI) ◽  
pp. 313-320
Author(s):  
Roxandra TĂBĂCARU
Keyword(s):  
Musical Scores ◽  
Baroque Opera ◽  
Contemporary Opera ◽  
Opera Production

The study “Drama-Music Communication in Opera Performance” builds on my 35-year experience of lyric drama in opera production. In my career as a director, which spanned from Baroque opera to contemporary opera, I was intrigued by the multiple connections between the musical dramaturgy, vocal expressiveness, stage image and impact on the audience. Consequently, I realised that all these elements which rely on musical scores are connected by something similar to the principle of communicating vessels: with genuine and intense musical-dramatic communication, the artistic emotion may reach the same level in all the components of the connections mentioned above.

scholarly journals Controversies of the Mai 68 Opera in Philosophical Contexts of Actual Opera Production

2018 ◽  
Vol 66 (2) ◽  
pp. 195-207
Author(s):  
Jozef Cseres
Keyword(s):  
Czech Republic ◽  
Gilles Deleuze ◽  
Felix Guattari ◽  
Philosophical Thought ◽  
Morton Feldman ◽  
Contemporary Opera ◽  
Opera Production

Abstract In his paper, the author reveals the poetical controversies of the Mai 68 opera (2008) by Petr Kofroň, Zdenek Plachý and Jiří Šimáček as well as its controversial reception by Czech opera critics. Comparing the poetical principles of the mentioned authors with those applied in stage works by Morton Feldman, Martin Burlas and John Zorn, and arguing with the philosophical concepts of Gilles Deleuze and Félix Guattari and actual concepts of postmodern aesthetics, he outlines the poetical features of current opera production in the context of actual philosophical thought and intermedia aesthetics. In this broader framework, in spite of some defects in staging, he considers Mai 68 a very real and influential contribution to the opera world in Czech Republic and Slovakia, comparable with the contemporary opera works worldwide.

Baroque opera: Measures of Performing Interpretation

2019 ◽  
Vol 1 (5) ◽  
pp. 105-108
Author(s):  
Zhanna Zakrasniana ◽  
Keyword(s):  
Baroque Opera

La Traviata Affair

2018 ◽  
Author(s):  
Hilde Roos
Keyword(s):  
South Africa ◽  
Racial Boundaries ◽  
Cultural Organization ◽  
Colored People ◽  
Art Forms ◽  
Group A ◽  
La Traviata ◽  
Apartheid Regime ◽  
Opera Production ◽  
The Way

Opera, race, and politics during apartheid South Africa form the foundation of this historiographic work on the Eoan Group, a so-called colored cultural organization that performed opera in the Cape. The La Traviata Affair: Opera in the Time of Apartheid charts Eoan’s opera activities from its inception in 1933 until the cessation of its work by 1980. By accepting funding from the apartheid government and adhering to apartheid conditions, the group, in time, became politically compromised, resulting in the rejection of the group by their own community and the cessation of opera production. However, their unquestioned acceptance of and commitment to the art of opera lead to the most extraordinary of performance trajectories. During apartheid, the Eoan Group provided a space for colored people to perform Western classical art forms in an environment that potentially transgressed racial boundaries and challenged perceptions of racial exclusivity in the genre of opera. This highly significant endeavor and the way it was thwarted at the hands of the apartheid regime is the story that unfolds in this book.

Marco Faustini and Venetian Opera Production in the 1650s: Recent Archival Discoveries

1992 ◽  
Vol 10 (1) ◽  
pp. 48-73
Author(s):  
Beth L. Glixon ◽  
Jonathan E. Glixon
Keyword(s):  
Opera Production

Baroque Opera

2018 ◽  
pp. 369-385
Author(s):  
Downing A. Thomas
Keyword(s):  
Eighteenth Century ◽  
Early Modern ◽  
Early Modern Period ◽  
Spoken Language ◽  
Social World ◽  
Musical Language ◽  
Modern Period ◽  
Nested Structures ◽  
Core Elements ◽  
Baroque Opera

The fundamental assumption of commentators from the early modern period is that tasteful music functions simultaneously to express sentiment and to move listener-spectators. The three core elements of the baroque operatic spectacle—poetry, music, and dance—are defined by their ability to express and convey passion. Commentators point to the particular ability of musical language—and its combination with poetry and movement—to represent that which is out of reach of spoken language, or below the threshold of linguistic representation. Although both dramma per musica and the tragédie en musique arose and were fundamentally grounded in monarchical cultural worlds, both also endured successfully as public art forms. Aesthetically, baroque opera exhibits and revels in nested structures, manifested in plays within plays and in references that place the operatic moment within a social world outside the opera. Opera left this aesthetic behind as it moved into the second half of the eighteenth century, influenced by the views of Jean-Jacques Rousseau and the works of Christoph Willibald Ritter von Gluck among others.

scholarly journals Machine Learning for Dissimulating Reality

Proceedings ◽  
2021 ◽  
Vol 77 (1) ◽  
pp. 17
Author(s):  
Andrea Giussani
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
Huge Amount ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Technological Advances ◽  
Textual Data ◽  
Musical Scores ◽  
Mathematical Formulas

In the last decade, advances in statistical modeling and computer science have boosted the production of machine-produced contents in different fields: from language to image generation, the quality of the generated outputs is remarkably high, sometimes better than those produced by a human being. Modern technological advances such as OpenAI’s GPT-2 (and recently GPT-3) permit automated systems to dramatically alter reality with synthetic outputs so that humans are not able to distinguish the real copy from its counteracts. An example is given by an article entirely written by GPT-2, but many other examples exist. In the field of computer vision, Nvidia’s Generative Adversarial Network, commonly known as StyleGAN (Karras et al. 2018), has become the de facto reference point for the production of a huge amount of fake human face portraits; additionally, recent algorithms were developed to create both musical scores and mathematical formulas. This presentation aims to stimulate participants on the state-of-the-art results in this field: we will cover both GANs and language modeling with recent applications. The novelty here is that we apply a transformer-based machine learning technique, namely RoBerta (Liu et al. 2019), to the detection of human-produced versus machine-produced text concerning fake news detection. RoBerta is a recent algorithm that is based on the well-known Bidirectional Encoder Representations from Transformers algorithm, known as BERT (Devlin et al. 2018); this is a bi-directional transformer used for natural language processing developed by Google and pre-trained over a huge amount of unlabeled textual data to learn embeddings. We will then use these representations as an input of our classifier to detect real vs. machine-produced text. The application is demonstrated in the presentation.

Imitating Musical Scores on a Chip Through Droplet Generation

2016 ◽  
Vol 16 (6) ◽  
pp. 6318-6321
Author(s):  
Xiaoyun Shawn Yang ◽  
Soojeong Shin ◽  
Woon Seob Lee ◽  
Jong Wook Hong
Keyword(s):  
Droplet Generation ◽  
Musical Scores

Artistic Graphic Musical Scores Influenced by Tantric Art

Leonardo ◽  
1981 ◽  
Vol 14 (2) ◽  
pp. 122 ◽  
Author(s):  
Robert Donnini
Keyword(s):  
Musical Scores
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