Dataset Open Access
Results of the paper "Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment"
Şentürk, Sertan
This repository contains the composition identification and tonic identification results along with the statistical significance values presented in the paper:
Şentürk, S., & Serra X. (2016). Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment. In Proceedings of 13th Sound and Music Computing Conference (SMC 2016), (pp. XX–XX)., Hamburg, Germany.
Please cite the publication above in any work using this dataset.
For the details of the results, please refer to the paper. For any further information please contact the authors.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
| Name | Size | |
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LICENSE.txt
md5:edfa2681a457fb596fbfb948de02ed5e |
244 Bytes | Download |
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otmm_composition_identification_results.zip
md5:4a7790fd6a4fb4983467642dd0212bf9 |
593.7 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 545 | 545 |
| Downloads | 25 | 25 |
| Data volume | 6.5 GB | 6.5 GB |
| Unique views | 543 | 543 |
| Unique downloads | 22 | 22 |
- Publication date:
- August 31, 2016
- DOI:
-
- Keyword(s):
- composition identification audio recordings subsequence dynamic time warping outlier detection ottoman turkish makam music hough transform
- Grants:
-
European Commission:
- COMPMUSIC - Computational models for the discovery of the world's music (267583)
- Meeting:
- 13th Sound and Music Computing Conference (SMC 2016), Hamburg, Germany, 31 August 2016
- Communities:
- License (for files):
- Creative Commons Attribution Non Commercial Share Alike 4.0 International