Computing melodic templates in oral music traditions

@article{Bereg2019ComputingMT,
  title={Computing melodic templates in oral music traditions},
  author={Sergey Bereg and Jos{\'e} Miguel D{\'i}az-B{\'a}{\~n}ez and Nadine Kroher and Inmaculada Ventura},
  journal={ArXiv},
  year={2019},
  volume={abs/2209.13598}
}

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References

SHOWING 1-10 OF 31 REFERENCES

Discovery of Repeated Melodic Phrases in Folk Singing Recordings

A novel method for the discovery of repeated sung phrases in folk music recordings and, in particular, in oral music traditions, where written scores are usually unavailable is presented.

Classification of Melodic Motifs in Raga Music with Time-series Matching

In this work, machine learning methods are used on labelled databases of Hindustani and Carnatic vocal audio concerts to obtain phrase classification on manually segmented audio using Dynamic time warping and HMM based classification on time series of detected pitch values used for the melodic representation of a phrase.

Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes

This work uses a state-of-the-art automatic transcription method to account for general melodic similarity from music recordings and defines a specific set of representative mid-level melodic features, which are manually labelled by flamenco experts to create a global similarity measure.

Algorithmic Composition: Paradigms of Automated Music Generation

This is the first book to provide a detailed overview of prominent procedures of algorithmic composition in a pragmatic way rather than by treating formalizable aspects in single works.

Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings

  • N. KroherE. Gómez
  • Computer Science
    IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • 2016
This study first extracts the predominant melody and applies a novel contour filtering process to eliminate segments of the pitch contour which originate from the guitar accompaniment, and formulates a set of onset detection functions based on volume and pitch characteristics to segment the resulting vocal pitch contours into discrete note events.

A Computational Approach to Content-Based Retrieval of Folk Song Melodies

Computational methods have a rich potential for the study of music; not as a replacement of ‘traditional’ methods, but as an extension of the research methods that are available to the musicologist.

The Melodic Structure of Jiangnan Sizhu

T he structure of Chinese melody is one of the most imperfectly understood aspects of world music theory. Traditional Chinese music theorists, whose writings were actually more a rationalization of

Using transportation distances for measuring melodic similarity

By using weighted point sets and the EMD/PTD instead of Howard’s method (1998) using the DARMS encoding for determining melodic similarity, it is possible to group together about twice as many known occurrences of a melody within the RISM A/II collection.

Pattern Matching in Polyphonic Music as a Weighted Geometric Translation Problem

It is shown that the music pattern matching problem is at least as hard as a basic problem called 3-SUM that is conjectured to have no subquadratic algorithm, and an algorithm is given with running time O(nm log m), where n is the size of the score and m is thesize of the pattern.

Computational geometric aspects of rhythm, melody, and voice-leading