MusicMapp
| Autor: | Zhangyang Wang, Mohammed Habibullah Baig, Jibin Rajan Varghese |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Multimedia
Computer science business.industry Deep learning 05 social sciences Point cloud Cloud computing 010501 environmental sciences computer.software_genre 01 natural sciences Visualization Musicology Recurrent neural network 0502 economics and business Artificial intelligence 050207 economics Cluster analysis business Interactive visualization computer 0105 earth and related environmental sciences |
| Zdroj: | ACM Multimedia |
| Popis: | We present MusicMapp, the world's first large-scale interactive visualization of full-length songs as a point-cloud map, based on high-level features extracted using a customized deep convolutional recurrent neural network (Deep CRNN). MusicMapp will provide the audience with a novel way of experiencing music, opening up new horizons for research and exploration in musicology, regarding how music is perceived, consumed, and interacted with. The demo of MusicMapp will highlight a series of features, including but not limited to: 1) a cloud-based Android App visualizing songs as a point cloud; 2) personalized music exploration and recommendation; and 3) a social-network sharing mechanism built among the users exploring songs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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