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Connectionist representations of tonal music : discovering musical patterns by interpreting artificial neural networks / Michael R.W. Dawson.
- Format:
- Book
- Author/Creator:
- Dawson, Michael Robert William, 1959- author.
- Language:
- English
- Subjects (All):
- Music--Psychological aspects--Case studies.
- Music.
- Music--Physiological aspects--Case studies.
- Music--Philosophy and aesthetics--Case studies.
- Physical Description:
- 1 online resource (312 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Edmonton, Alberta : AU Press, [2018]
- Summary:
- 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.
- 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.
- Notes:
- Description based on print version record.
- ISBN:
- 9781771992213
- 1771992212
- OCLC:
- 1030840415
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