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The Final hour : Pre-performance preparation for opera singers

This master thesis investigates the pre-performance preparation of classical singers during the final hour before a performance. Through a mixed-methods approach, data was collected from personal reflections and survey data. The results suggest that the majority of the opera singers choose to engage in different activities during the final hour before a performance, with individualized ordering and prioritization of their pre-performance activities and preparations. The survey data analysis showed some similar attributes between the singers engaging in memory recall techniques, those with low levels of anxiety performance, and those who report feeling ready and prepared before a performance. No significant similarities seem to be, however, among singers that follow a set of rituals or a structured pre-performance routine and those reporting that experience stress before performances. Additionally, the study highlights the importance of having a pre-performance routine for me as performer, singer and artist, because it enhances my commitment, self-confidence and improves the  overall quality of my performances. The artistic outcome of my research consists of two parts: firstly, my established pre-performance routine, which I consistently followed prior to every performance during the study period; and secondly, the video recordings of my graduation concert and other performances completed during the study. The findings of this master thesis have implications for classical singers who wish to follow a professional career and improve the quality of their performances.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-98760
Date January 2023
CreatorsMangou, Serafeia
PublisherLuleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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