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020 ▼a 9780438305823
035 ▼a (MiAaPQ)AAI10747488
035 ▼a (MiAaPQ)fsu:14340
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 781
1001 ▼a Lomax, Micah Aaron.
24514 ▼a The Computationally-Assisted Analysis of Select Songs by Sergei Prokofiev.
260 ▼a [S.l.] : ▼b The Florida State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 205 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
500 ▼a Includes supplementary digital materials.
500 ▼a Advisers: Jane Clendinning
5021 ▼a Thesis (Ph.D.)--The Florida State University, 2018.
520 ▼a Sergei Prokofiev's songs for solo voice and piano hold a special place in his oeuvre both biographically and stylistically. The works were composed almost continuously throughout his entire lifetime, with only a short lapse in output from 1922--
520 ▼a Even so, very few scholarly works engage with more than a handful of these songs within the same study. Eugenia Joukova attempts to examine all of his solo vocal songs from a historical perspective, noting the subject matter of each song and how
520 ▼a Producing a thorough, in-depth analysis of a large corpus of music can prove challenging and, at times, unattainable due to various factors. The sheer size of a musical corpus can discourage these studies from being undertaken, and the time and
590 ▼a School code: 0071.
650 4 ▼a Music theory.
650 4 ▼a Music.
690 ▼a 0221
690 ▼a 0413
71020 ▼a The Florida State University. ▼b Music.
7730 ▼t Dissertation Abstracts International ▼g 80-01A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0071
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996930 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자