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Description
Since the collapse of the Soviet Union, musicologists have been delving into formerly inaccessible archives and publishing new research on Eastern Bloc composers. Much of the English-language scholarship, however, has focused on already well-known composers from Russia or Poland. In contrast, composers from smaller countries such as the Czech Republic

Since the collapse of the Soviet Union, musicologists have been delving into formerly inaccessible archives and publishing new research on Eastern Bloc composers. Much of the English-language scholarship, however, has focused on already well-known composers from Russia or Poland. In contrast, composers from smaller countries such as the Czech Republic (formerly Czechoslovakia) have been neglected. In this thesis, I shed light on the new music scene in Czechoslovakia from 1948–1989, specifically during the period of “Normalization” (1969–1989).

The period of Normalization followed a cultural thaw, and beginning in 1969 the Czechoslovak government attempted to restore control. Many Czech and Slovak citizens kept their opinions private to avoid punishment, but some voiced their opinions and faced repression, while others chose to leave the country. In this thesis, I explore how two Czech composers, Marek Kopelent (b. 1932) and Petr Kotík (b. 1942) came to terms with writing music before and during the period of Normalization.
ContributorsJohnson, Victoria K (Author) / Feisst, Sabine (Thesis advisor) / Oldani, Robert (Committee member) / Rockmaker, Jody (Committee member) / Arizona State University (Publisher)
Created2015
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Description
In this study, the Bark transform and Lobanov method were used to normalize vowel formants in speech produced by persons with dysarthria. The computer classification accuracy of these normalized data were then compared to the results of human perceptual classification accuracy of the actual vowels. These results were then analyzed

In this study, the Bark transform and Lobanov method were used to normalize vowel formants in speech produced by persons with dysarthria. The computer classification accuracy of these normalized data were then compared to the results of human perceptual classification accuracy of the actual vowels. These results were then analyzed to determine if these techniques correlated with the human data.
ContributorsJones, Hanna Vanessa (Author) / Liss, Julie (Thesis director) / Dorman, Michael (Committee member) / Borrie, Stephanie (Committee member) / Barrett, The Honors College (Contributor) / Department of Speech and Hearing Science (Contributor) / Department of English (Contributor) / Speech and Hearing Science (Contributor)
Created2013-05