Academic Journal

Learning Melodic Expectancy: Musical Predictability in an SRN

التفاصيل البيبلوغرافية
العنوان: Learning Melodic Expectancy: Musical Predictability in an SRN
المؤلفون: Brandon Abbs, Prahlad Gupta
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www2.psychology.uiowa.edu/Faculty/Gupta/pdf/abbs-gupta-cogsci2006.pdf.
المجموعة: CiteSeerX
الوصف: Descriptive models of music cognition propose various principles as underlying melodic expectancy, with some models proposing that these are innate. A simple recurrent network (SRN) was trained on a set of musical sequences to examine the degree to which the principles described by Schellenberg's (1997) two-factor model might be learned through musical exposure. The principle of pitch proximity, but not pitch reversal constrained the model's expectations of tones following melodic fragments. Implications for this model in the area of music perception and sequential modeling are discussed, as are potential extensions of this simple system.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1054.8258; http://www2.psychology.uiowa.edu/Faculty/Gupta/pdf/abbs-gupta-cogsci2006.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1054.8258
http://www2.psychology.uiowa.edu/Faculty/Gupta/pdf/abbs-gupta-cogsci2006.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.305F6F88
قاعدة البيانات: BASE