Music Visualization in 3D
| Thesis title in Czech: | 3D vizualizace hudby |
|---|---|
| Thesis title in English: | Music Visualization in 3D |
| Key words: | analýza hudby, rozpoznání rytmu, 3D vizualizace, emoce |
| English key words: | music analysis, beat tracking, 3D visualization, emotions |
| Academic year of topic announcement: | 2019/2020 |
| Thesis type: | Bachelor's thesis |
| Thesis language: | angličtina |
| Department: | Department of Software and Computer Science Education (32-KSVI) |
| Supervisor: | Tobias Rittig, B.Sc., M.Sc., Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 11.02.2020 |
| Date of assignment: | 11.02.2020 |
| Confirmed by Study dept. on: | 31.07.2020 |
| Date and time of defence: | 14.09.2020 09:00 |
| Date of electronic submission: | 31.07.2020 |
| Date of submission of printed version: | 30.07.2020 |
| Date of proceeded defence: | 14.09.2020 |
| Opponents: | Mgr. Jan Hajič, Ph.D. |
| Guidelines |
| The goal of this thesis is to provide a 3D visualization of music that corresponds to human emotions.
First, the songs are analyzed and key statistics (key, tempo, etc) are extracted from them. These statistics can be used to classify an emotional response of the song using machine learning. Finally this information is used to perform an adaptive, real-time 3D visualization that represents the emotional response adequately. |
| References |
| - Ellis, Daniel. (2007). Beat Tracking by Dynamic Programming. Journal of New Music Research. 36. 51-60. 10.1080/09298210701653344.
- Han, B. J., Rho, S., Dannenberg, R. B., & Hwang, E. (2009, October). SMERS: Music Emotion Recognition Using Support Vector Regression. In ISMIR (pp. 651-656). - Chen, Y. A., Yang, Y. H., Wang, J. C., & Chen, H. (2015, April). The AMG1608 dataset for music emotion recognition. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 693-697). IEEE. |