Artificial Grammar Learning of Melody Is Constrained by Melodic Inconsistency: Narmour's Principles Affect Melodic Learning

نویسندگان

  • Martin Rohrmeier
  • Ian Cross
چکیده

Considerable evidence suggests that people acquire artificial grammars incidentally and implicitly, an indispensable capacity for the acquisition of music or language. However, less research has been devoted to exploring constraints affecting incidental learning. Within the domain of music, the extent to which Narmour's (1990) melodic principles affect implicit learning of melodic structure was experimentally explored. Extending previous research (Rohrmeier, Rebuschat & Cross, 2011), the identical finite-state grammar is employed having terminals (the alphabet) manipulated so that melodies generated systematically violated Narmour's principles. Results indicate that Narmour-inconsistent melodic materials impede implicit learning. This further constitutes a case in which artificial grammar learning is affected by prior knowledge or processing constraints.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning Melodic Expectancy: Musical Predictability in an SRN

Descriptive models of music cognition propose various principles as underlying melodic expectancy, however there is very little discussion regarding the processes involved in the acquisition of melodic expectation. To explore the potential role of learning processes, a simple recurrent network (SRN) was trained on a set of musical sequences to examine the degree to which the principles describe...

متن کامل

Automatic Melodic Reduction Using a Supervised Probabilistic Context-Free Grammar

This research explores a Natural Language Processing technique utilized for the automatic reduction of melodies: the Probabilistic Context-Free Grammar (PCFG). Automatic melodic reduction was previously explored by means of a probabilistic grammar [11] [1]. However, each of these methods used unsupervised learning to estimate the probabilities for the grammar rules, and thus a corpusbased evalu...

متن کامل

Language play facilitates language learning: Optimizing the input for gender-like category induction

Gender induction has been claimed to be virtually impossible unless nouns provide reliable semantic or phonological gender-relevant cues. However, learners might exploit syntactic cues, such as definite articles, to infer the gender of gender-unmarked nouns. In children's poems and songs, such syntactic cues are presented in a highly structured fashion. We assessed gender-like category inductio...

متن کامل

Data-Driven Exploration of Melodic Structure in Hindustani Music

Indian art music is quintessentially an improvisatory music form in which the line between ‘fixed’ and ‘free’ is extremely subtle. In a rāga performance, the melody is loosely constrained by the chosen composition but otherwise improvised in accordance with the rāga grammar. One of the melodic aspects that is governed by this grammar is the manner in which a melody evolves in time in the course...

متن کامل

MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations

MELONET I is a multi-scale neural network system producing baroque-style melodic variations. Given a melody, the system invents a four-part chorale harmonization and a variation of any chorale voice, after being trained on music pieces of composers like J. S. Bach and J . Pachelbel. Unlike earlier approaches to the learning of melodic structure, the system is able to learn and reproduce high-or...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013