Musical Motif Discovery in Non-musical Media thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Musical Motif Discovery in Non-musical Media

Published on Aug 08, 20141931 Views

Many music composition algorithms attempt to compose music in a particular style. The resulting music is often impressive and indistinguishable from the style of the training data, but it tends to

Related categories

Chapter list

Musical Motif Discovery in Non-Musical Media00:00
Computational Composition Approaches: #1: Mimic00:58
Computational Composition Approaches: #2: Innovate02:48
Human Composition Approaches03:29
Project Description - 104:20
Project Description - 204:32
Project Description - 305:10
Project Description - 405:53
Project Description - 507:00
Project Description - 609:05
Project Description - 709:49
Project Description - 810:02
Project Description - 910:03
Project Description - 1010:04
Project Description - 1110:05
Project Description - 1210:07
Project Description - 1310:09
Project Description - 1410:10
Project Description - 1510:10
Project Description - 1610:11
Project Description - 1710:12
Project Description - 1810:12
Project Description - 1910:13
Project Description - 2010:18
Project Description - 2110:19
Project Description - 2210:19
Project Description - 2310:19
Project Description - 2410:20
Project Description - 2510:20
Project Description - 2610:20
Project Description - 2710:20
Project Description - 2810:21
Project Description - 2910:21
Project Description - 3010:22
Project Description - 3110:32
Project Description - 3210:46
Project Description - 3310:47
Example Outputs - 110:56
Example Outputs - 212:02
Preliminary Evaluation of Inspirational Sources13:14
Results14:00
Evaluation of Motif Extraction Process - 115:12
Evaluation of Motif Extraction Process - 215:51
Results - 116:12
Evaluation of Structural Quality of Motifs16:31
Results - 217:13
Results - 317:31
Comparison of Media Inspiration and Random Inspiration - 117:38
Comparison of Media Inspiration and Random Inspiration - 217:40
Subset Training - 117:42
Subset Training - 217:49
Future Work17:52
CARL: Composer of Anomalous Reactive Lead Sheets17:53
Conclusion19:37