Connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks / Michael R.W. Dawson.
| Author/creator | Dawson, Michael Robert William, 1959- |
| Format | Electronic |
| Publication Info | Edmonton, Alberta : AU Press, 2018. |
| Description | xv, 295 pages : illustrations ; 23 cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Contents | Overture : Alien Music -- Science, Music, and Cognitivism -- Artificial Neural Networks and Music -- The Scale Tonic Perceptron -- The Scale Mode Network -- Networks for Key-Finding -- Classifying Chords with Strange Circles -- Classifying Extended Tetrachords -- Jazz Progression Networks -- Connectionist Reflections. |
| Abstract | 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. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018379378 |
| ISBN | 9781771992206 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |