Abstract
In this paper, we present a system for analyzing the time-series impression change in the acoustic signal by a unit of music phrase to support music media creation. The aim is to realize an environment to support the composers' music creation by bringing out their potentially-advanced knowledge and skills. This system analyzes the acoustic signals by focusing on the phrase and the structure of music (melody, rhythm, and harmony). By calculating the correlation between the typical phrase in each music genre and the one that is included in the target music to be analyzed, the system enables the composer to grasp the impression change of music media by the unit of music phrase. The system leads to a new creative and efficient environment for music composition based on the advanced knowledge on the music phrase and structure.
| Original language | English |
|---|---|
| Title of host publication | 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 188-193 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509052318 |
| DOIs | |
| Publication status | Published - 2017 Mar 20 |
| Event | 5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 - Manado, Indonesia Duration: 2016 Nov 15 → 2016 Nov 17 |
Other
| Other | 5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 |
|---|---|
| Country/Territory | Indonesia |
| City | Manado |
| Period | 16/11/15 → 16/11/17 |
Keywords
- Acoustic signal processing
- correlation calculation
- knowledge base
- Music Information Retrieval
- time series data
ASJC Scopus subject areas
- Computer Science Applications
- Artificial Intelligence