scholarly journals Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System

2017 ◽  
Vol 14 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Duncan Williams ◽  
Alexis Kirke ◽  
Eduardo Miranda ◽  
Ian Daly ◽  
Faustina Hwang ◽  
...  
Keyword(s):  
Music Composition ◽  
Feature Sets ◽  
Emotionally Intelligent ◽  
Musical Feature

Rule-Based and Genetic Algorithm for Automatic Gamelan Music Composition

2017 ◽  
Vol 10 (3) ◽  
pp. 202
Author(s):  
Khafiizh Hastuti ◽  
Azhari Azhari ◽  
Aina Musdholifah ◽  
Rahayu Supanggah
Keyword(s):  
Genetic Algorithm ◽  
Music Composition ◽  
Rule Based

Babbitt’s Beguiling Surfaces, Improvised Inside; Part III: Opportunities

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Joshua Banks Mailman
Keyword(s):  
Music Composition ◽  
Jazz Improvisation ◽  
The Third ◽  
Partial Orderings ◽  
Compositional Structures ◽  
Surface Patterns ◽  
Inside Part ◽  
Musical Activities

Babbitt’s relatively early composition Semi-Simple Variations (1956) presents intriguing surface patterns that are not determined by its pre-compositional plan, but rather result from subsequent “improvised” decisions that are strategic. This video (the third of a three-part video essay) considers Babbitt’s own conversational pronouncements (in radio interviews) together with some particulars of his life-long musical activities, that together suggest uncanny affiliations to jazz improvisation. As a result of Babbitt’s creative reconceptualizing of planning and spontaneity in music, his pre-compositional structures (partial orderings) fit in an unexpected way into (or reformulate) the ecosystem relating music composition to the physical means of its performance.

Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line

2020 ◽  
Vol 13 ◽  
Author(s):  
Hitesh Yadav ◽  
Rita Chhikara ◽  
Charan Kumari
Keyword(s):  
Hybrid Model ◽  
High Performance ◽  
Software Product Line ◽  
Product Line ◽  
Feature Model ◽  
Software Systems ◽  
Feature Sets ◽  
Research Article ◽  
Software Product ◽  
Multiple Variants

Background: Software Product Line is the group of multiple software systems which share the similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organization. Objective: The objective of this research article is to obtain an optimized subset of features which are capable of providing high performance. Methods: In order to achieve the desired objective, two methods have been proposed. a) An improved objective function which is used to compute the contribution of each feature with weight based methodology. b) A hybrid model is employed to optimize the Software Product Line problem. Results: Feature sets varying in size from 100 to 1000 have been used to compute the performance of the Software Product Line. Conclusion: The results shows that proposed hybrid model outperforms the state of art metaheuristic algorithms.

Inverse agreement in Hungarian

2017 ◽  
Author(s):  
András Bárány
Keyword(s):  
First Person ◽  
Personal Pronouns ◽  
Second Person ◽  
Morphological Effect ◽  
Object A ◽  
Feature Sets ◽  
Explicit Analysis ◽  
The Subject ◽  
Agreement Morphology ◽  
Object Agreement

This chapter turns to object agreement with personal pronouns in Hungarian. Pronouns are interesting because they do not always trigger agreement with the verb: first person objects never trigger object agreement (morphology), and second person pronouns only do with first person singular subjects. It is proposed that the distribution of object agreement is a morphological effect and argues that all personal pronouns do in fact trigger agreement, but agreement is not always spelled out. This means that Hungarian has an inverse agreement system, where the spell-out of agreement is determined by the relative person feature (or person feature sets) of the subject and the object. A formally explicit analysis of the syntax and the morphological spell-out of agreement is provided.

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