Visualization of Music - MIDI Content

Milosevic, Ivana B.; Bogavac, Zivanka Miladinovic; Regodić, Dušan; Milošević, Borivoje

doi:10.1109/icest55168.2022.9828738

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…Semi-structured interviews are a qualitative method of exploration that combines a pre-decided set of open-ended questions, which allows the interviewer to explore themes (Sharma & Sagar, 2018). Data must have easy accessibility and understandable information (Milosevic et al, 2021). Researchers can use thematic analysis to look for emerging themes important to describing the phenomenon (Sharma & Sagar, 2018).…”

Section: Data Collection Instrumentation and Proceduresmentioning

confidence: 99%

Challenges and opportunities of completing successful projects using Earned Value Management

Stone¹

2023

OJBM

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This research proposed analyzing projects from a risk uncertainty perspective by using EVM to predict the systemic (Epistemic Risk) and provisioning (Aleatory risk) uncertainties to achieve project success. The results of the study synthesized empirical findings with theories and concepts. To bridge the gap, this research study focuses on minimizing or alleviating epistemic and aleatory risk uncertainties. The research method included a qualitative exploratory study with thematic analysis. The participants for the study were project managers with a PMP certification and EVM knowledge who worked on government contract requirements and members of the local chapter of the Project Management Institute.

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Section: Data Collection Instrumentation and Proceduresmentioning

confidence: 99%

Challenges and opportunities of completing successful projects using Earned Value Management

Stone¹

2023

OJBM

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“…Major-minor tonality has long been present in Western Classical Music, providing means for shaping the mood of musical compositions. Nowadays, it plays an important role in many music-related algorithms or systems, for example music genre recognition [1][2][3], assessment of musical tension [4][5][6][7], music visualization systems [8][9][10][11], music data mining [6], computer-aided composition software [12][13][14], and determining the harmonic structure of created pieces [15,16]. It is worth mentioning that in recent years, methods implementing neural networks [17][18][19] and other machine learning approaches [20][21][22] have gained popularity in many areas of music analysis.…”

Section: Introductionmentioning

confidence: 99%

“…There are many different models known to represent the relationships between tones and their associated keys. Interesting concepts of tonal description include, for example, Longuet-Higgins tonal maps [31,32], the geometrically regular helical models presented in [23], the spiral array models that show the interrelations among musical pitches [24], and the orbifold that represents the musical chord [11]. Unfortunately, they involve very complex calculations, which make hardware implementations impractical.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of the Music Key Detection Approaches Utilizing Key-Profiles with a New Method Based on the Signature of Fifths

et al. 2022

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This paper compares approaches to music key detection based on popular key-profiles with a new key detection method that utilizes the concept of the signature of fifths. The signature of fifths is a geometrical music harmonic-content descriptor. Depending on the scenario, it may reflect either the multiplicities of occurrences or the aggregated durations of individual pitch-classes of the chromatic scale in a given fragment of music. In this study, we compare the efficacies of a few strictly correlational key recognition approaches based on music key-profiles (i.e., Krumhansl–Kessler, Temperley, and Albrecht–Shanahan) with a new method that implements the concept of the signature of fifths. All the experiments were performed in a collection of music pieces comprised of preludes by J. S. Bach (The Well-Tempered Clavier-Book I), preludes by F. Chopin (Op. 28), and songs by The Beatles (from the album A Hard Day’s Night). In the scenario implementing the aggregate durations of individual pitch-classes, based on the analysis of the shortest initial fragments of music for which the key was indicated in all the considered approaches, the key detection efficacy obtained with the method using the signature of fifths was greater than the efficacies obtained with the strictly correlational approaches utilizing key-profiles (on average by 9.27 pp). In the case of the analogous analysis carried out for the scenario implementing the multiplicities of occurrences of individual pitch-classes, on average, greater efficacy was observed for the strictly correlational approaches based on key-profiles (by 2.7 pp). The conducted experiments confirmed the new key-detecting method offers advantages in computational simplicity, stability of decision making, and the ability to successfully determine the key based on a very short fragment of music.

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Visualization of Music - MIDI Content

Cited by 2 publications

References 2 publications

Challenges and opportunities of completing successful projects using Earned Value Management

Challenges and opportunities of completing successful projects using Earned Value Management

A Comparison of the Music Key Detection Approaches Utilizing Key-Profiles with a New Method Based on the Signature of Fifths

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