Éditeur : Athabasca University Press
ISBN numérique PDF: 9781771992213
Parution : 2018
Catégorisation :
Livres numériques /
Autre /
Autre /
Autre.
Format | Qté. disp. | Prix* | Commander |
---|---|---|---|
Numérique PDF Protection filigrane*** |
Illimité | Prix : 41,99 $ |
*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
***Ce produit est protégé en vertu des droits d'auteurs.
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 or four 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 the internal structure of trained networks could yield important contributions to the field of music cognition.
How the internal structure of simple artificial neural networks revealed new represenations of tonal music.Livre papier | 1 | Prix : 41,99 $ |
Éditeur : Athabasca University Press
ISBN : 9781771992220
Parution : 2018
Livre papier | 1 | Prix : 39,99 $ |
Éditeur : Athabasca University Press
ISBN : 9781927356197
Parution : 2013
Livre papier | 1 | Prix : 39,99 $ |
Éditeur : Athabasca University Press
ISBN : 9781927356180
Parution : 2013