A5090687825- Music and Audio Processing
- Forensic and Genetic Research
- Music Technology and Sound Studies
- Diverse Musicological Studies
- Genetic diversity and population structure
- Yersinia bacterium, plague, ectoparasites research
- Neuroscience and Music Perception
- Archaeology and ancient environmental studies
- Time Series Analysis and Forecasting
- Folklore, Mythology, and Literature Studies
- Neural Networks and Applications
- Image Processing and 3D Reconstruction
- Language and cultural evolution
- Historical Geography and Cartography
- Computational and Text Analysis Methods
- Identification and Quantification in Food
- Forensic Anthropology and Bioarchaeology Studies
- Race, Genetics, and Society
- Historical and Archaeological Studies
- Natural Language Processing Techniques
HUN-REN Centre for Energy Research
2016-2024
Hungarian Academy of Sciences
2016
Institute for Technical Physics and Materials Science
2006-2015
HUN-REN Research Centre for Natural Sciences
2013-2015
Abstract The relations of six European musical cultures were investigated using self-organizing mapping the melody contours. high number contour types characterizing more than 2 simultaneously led to supposition a hypothetical common language, and corresponding determined map, being able "understand" in parallel. analysis showed that significant parts language are represented national cultures, it exists practically completely Hungarian Slovak folk music. sections multidimensional "melody...
In the present paper, we describe a method for extracting certain basic note sequences that should function as stable starting points variations in Hungarian folk music. The database of our study contains melody section contours constructed from digitized notes 2323 songs. Using these contour sequences, self-organizing map (SOM) was trained to determine typical appearing many individual sections. To identify "roots" different parts sections, worked out version dynamic time warping with...
One of the possible objective and universal descriptions most folk songs can be based on structural musical characteristics such as contour, tone set, tonality, rhythm, meter, form. Experimental studies in recent decade supported importance contour tonality two important determining human music cognition memory. It follows from this statement that a mathematically adequate description should both information. We describe method searching for characteristic groups melody types (MTs)...
A system for automatic motive identification of large folksong corpora is described in this article. The method based on a dynamic time warping algorithm determining inherent repeating elements the melodies and self-organizing map that learns most typical contours. Using system, collections 22 cultures Eurasia have been determined, another great common self organising has trained by unified collection national/areal collections. analysis overlaps national-areal excitations allowed us to draw...
Abstract A data-based system for automatic segmentation of large folk song corpora is described in this article. The algorithm based on a self-organizing map that learns the most typical motive contours. Using system, collections 11 cultures Eurasia were determined. analysis overlaps between allowed us to draw graph connections, which shows two main distinct groups, according geographical distribution. These groups are connected by Carpathian Basin, itself assures unbroken structure...
The main ethnomusicological contribution of this work is that a significant part the similarities revealed by comparative study 36 folk music cultures in Eurasia and America can be traced back to certain well identifiable subsets melody types jointly appearing well-identifiable groups musical cultures. We attribute phenomenon effect 'primal languages'. research was based on newly developed algorithm for clustering visual representation large symbolic folksong corpora. applied system find...
In order to reveal some special rules of note association paradigms in different folk music cultures, we characterized the correlations notes by conditional probabilities their joint appearances common melodies. The complex being formulated resulting probability matrices were visualized using a kind multidimensional scaling algorithm. We constructed simple mathematical model similarity evaluation, and found that this is able imitate main characteristics observed paradigms. These results pose...
We introduce a novel population genetic approach suitable to model the origin and relationships of populations, using new computation methods analyzing Hg frequency distributions. Hgs were selected into groups which show correlated frequencies in subsets based on assumption that correlations established ancient separation, migration admixture processes. Populations are defined with this universal database, then unsupervised artificial intelligence, central vectors (CVs) determined from local...