2018/9/26 17:20
要旨
Speaker: Dr. Christian Walder (Data61, Australia)
Title: Neural Dynamic Programming for Musical Self Similarity
Abstract: We present a neural sequence model designed specifically for symbolic music. The model is based on a learned edit distance mechanism which generalises a classic recursion from computer science, leading to a neural dynamic program. Repeated motifs are detected by learning the transformations between them. We represent the arising computational dependencies using a novel data structure, the edit tree; this perspective suggests natural approximations which afford the scaling up of our otherwise cubic time algorithm.
詳細情報
| 日時 | 2018/10/10(水) 14:00 - 15:30 |
| URL | https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/80323 |
