New Algorithm For The Development Of A Musical Words Descriptor For The Artificial Synthesis Of Oriental Music

Zhar, Mehdi; Bouattane, Omar; Bahatti, Lhoussain

doi:10.1109/iraset48871.2020.9092157

Cited by 2 publications

(2 citation statements)

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“…Another model that considers notes as abstract functions, we find in [30], an eastern note and a quarter-tone scale pattern. In [31], an automated composition process of eastern music, which allows the generation of derived terms, based on the original features of a selected composer. In [32], the studies highlighted functionalities of SVM on a common songs database of 409 sounds of 16 groups, a comparison of SVM-based distinction Guo was established with other traditional methods, while proposing a new audio recovery criterion, called Boundary Deviation (DFB).…”

Section: State Of the Artmentioning

confidence: 99%

New Algorithm for the Development of a Musical Words Descriptor for the Artificial Composition of Oriental Music

Zhar¹,

Bouattane²,

Bahatti³

2020

Adv. sci. technol. eng. syst. j.

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The Music Composition Library of the great composers constitutes an intellectual heritage. This article introduces an algorithm of artificial Oriental composing music based on the descriptors determined on a large learning base to automatically write Oriental music as the logic identical to any composer. Musical words are called a grammatical alphabet. Each word derived is created with the descriptors through its very own alphabet by crossing a number of filters removing all improper combinations and maintaining the features correctly responding with each filtering process while honoring the grammar of oriental music. A musical word is a combination of a rhythmic word and a symbolic word.

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Section: State Of the Artmentioning

confidence: 99%

New Algorithm for the Development of a Musical Words Descriptor for the Artificial Composition of Oriental Music

Zhar¹,

Bouattane²,

Bahatti³

2020

Adv. sci. technol. eng. syst. j.

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“…The model described in [20] is an Effective Audio Classification System based on Vector Support Machines designed to identify the composer. In [21], a system of the artificial composition of oriental music allowing to generate derived words based on the original pieces of a chosen composer. In [22], the authors highlight the capability of SVM on a popular audio database consisting of 409 sounds from 16 classes, a comparison of the SVM-based classification with other common approaches has been developed while suggesting a new criterion for audio recovery, called Boundary Deviation (DFB).…”

Section: State Of the Artmentioning

confidence: 99%

Classification algorithms to recognize the influence of the playing style of the Oud masters on the musicians of the Oud instrument

Zhar¹

2020

IJATCSE

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In an effort to recognize the influence of the famous Oud masters on the style of the Oud player game, and for the aim to classify which Oud school, an Oud player belongs to, in this work, we are proposing a model for recognizing the influence of Oud Master Player based on extracted features using for multiple machine learning classification algorithms KNN, Decision Tree and SVM. The improvement brought about by this work is also based on the integration of a procedure for selecting the optimal characteristics. Practical cases were also developed in this work in order to test the relevance and efficiency of our model.

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New Algorithm For The Development Of A Musical Words Descriptor For The Artificial Synthesis Of Oriental Music

Cited by 2 publications

References 18 publications

New Algorithm for the Development of a Musical Words Descriptor for the Artificial Composition of Oriental Music

New Algorithm for the Development of a Musical Words Descriptor for the Artificial Composition of Oriental Music

Classification algorithms to recognize the influence of the playing style of the Oud masters on the musicians of the Oud instrument

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