Linking Scores and Audio Recordings in Makam Music of Turkey

• Published in: Journal of new music research Vol. 43; no. 1; pp. 34 - 52
• Main Authors: Şentürk, Sertan, Holzapfel, André, Serra, Xavier
• Format: Journal Article
• Language: English
• Published: Abingdon Routledge 02-01-2014; Taylor & Francis Ltd; Taylor & Francis (Routledge)
• Subjects: Culture specificity; Directed acyclic graphs; Hough transform; Information retrieval; Knowledge-based methodologies; Makam music of Turkey; Media Technology; Medieteknik; Multi-modality; Music; Music information retrieval; Speech and Music Communication; Tal- och musikkommunikation; Variable-length Markov models
• ISSN: 0929-8215; 1744-5027; 1744-5027
• DOI: 10.1080/09298215.2013.864681

The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into account the specificities of a given type of music. In this paper, we present a method for linking musically relevant sections in a score of a piece from makam music of Turkey (MMT) to the corresponding time intervals of an audio recording of the same piece. The method starts by extracting relevant features from the score and from the audio recording. The features of a given score section are compared with the features of the audio recording to find the candidate links in the audio for that score section. Next, using the sequential section information stored in the score, it selects the most likely links. The method is tested on a dataset consisting of instrumental and vocal compositions of MMT, achieving 92.1% and 96.9%
-scores on the instrumental and vocal pieces, respectively. Our results show the importance of culture-specific and knowledge-based approaches in music information processing.