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Automatic Transcription of Turkish Makam Music
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Sound and Music Computing)ORCID iD: 0000-0003-1679-6018
2013 (English)In: Proceedings of ISMIR - International Conference on Music Information Retrieval, International Society for Music Information Retrieval, 2013, 355-360 p.Conference paper (Refereed)
Abstract [en]

In this paper we propose an automatic system for transcribing makam music of Turkey. We document the specific traits of this music that deviate from properties that were targeted by transcription tools so far and we compile a dataset of makam recordings along with aligned microtonal ground-truth. An existing multi-pitch detection algorithm is adapted for transcribing music in 20 cent resolution, and the final transcription is centered around the tonic frequency of the recording. Evaluation metrics for transcribing microtonal music are utilized and results show that transcription of Turkish makam music in e.g. an interactive transcription software is feasible using the current state-of-the-art.

Place, publisher, year, edition, pages
International Society for Music Information Retrieval, 2013. 355-360 p.
Keyword [en]
automatic music transcription, turkish music
National Category
Media and Communication Technology
Research subject
Computer Science; Media Technology; Speech and Music Communication
Identifiers
URN: urn:nbn:se:kth:diva-193734OAI: oai:DiVA.org:kth-193734DiVA: diva2:1040443
Conference
ISMIR - International Conference on Music Information Retrieval
Note

QC 20161031

Available from: 2016-10-27 Created: 2016-10-10 Last updated: 2016-11-10Bibliographically approved

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Holzapfel, André
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