Michael R. W. Dawson Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks 9781771992206

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Автор: Michael R. W. Dawson
Название: Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks
ISBN: 9781771992206
Издательство: Mare Nostrum (Eurospan)
Классификация:

Теория музыки и музыковедение

Когнитивистика

Познание и когнитивная психология

Нейронные сети и нечеткие системы

ISBN-10: 1771992204
Обложка/Формат: Paperback
Страницы: 320
Вес: 0.45 кг.
Дата издания: 01.04.2018
Язык: English
Иллюстрации: 86 b&w figures
Размер: 22.61 x 15.24 x 2.29 cm
Ключевые слова: Theory of music & musicology,Cognitive science, PSYCHOLOGY / Cognitive Psychology
Подзаголовок: Discovering musical patterns by interpreting artifical neural networks
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Поставляется из: Англии
Описание:

Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three of four different pitch-classes, a wildly different interpretation of the components of tonal music.

Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition.

Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artifical Neural Networks, Michael R. W. Dawson