خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Record identifier : 568783
Personal Name - Primary Intelectual Responsibility : Snavely, Andrea L.
Title and statement of responsibility : The role of statistical cues in the segmentation of post-tonal music [Thesis]
Publication, Distribution,Etc. : The University of Wisconsin - Madison, 2004
Language of the Item : eng
Dissertation of thesis details and type of degree : Ph.D
Body granting the degree : , The University of Wisconsin - Madison
Summary or Abstract : Recent research in the developmental psychology of language by Saffran, Aslin, and Newport (2001, 2000, 1999, 1996) has shown that language learners can use the statistical properties of syllable sequences (transitional probabilities) to discover word boundaries in continuous speech. Their research has also shown both infants and adults can use this learning mechanism to segment sequences of tones. This dissertation suggests that the segmentation task presented in the Saffran, Aslin, and Newport tone languages is similar to the task of segmenting atonal music and that transitional probabilities may provide music analysts with a solution to the problem of segmenting atonal music in an aurally relevant way. A model for using transitional probabilities for segmentation is created and applied to four monophonic, atonal pieces: Debussy's Syrinx , Messaien's Le merle noir , and Varغ‍se's Density 21.5 . It is also applied to one tonal piece--J. S. Bach's Sarabande from the Sonata in A minor for Flute alone..
Topical Name Used as Subject : Music
Information of biblio record : TL
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)