LEE- Müzik Lisansüstü Programı
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Yazar "Özdemir, Taylan" ile LEE- Müzik Lisansüstü Programı'a göz atma
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ÖgeAesthetic strategies in horror film sound design: Case studies from Japanese horror cinema(Graduate School, 2023-01-17) Akdeniz, Tolga ; Özdemir, Taylan ; 409191110 ; MusicHorror films have a unique place in cinema with their imagery and sonic qualities. While the experience of watching a horror film evolved throughout the years, the fundamental goal of the horror genre is to horrify the viewer in various ways, and it is named after this particular effect it aims to elicit. Sound design plays a major role in creating the horror film experience. In this study the contribution of sound design to aesthetic strategies employed in horror films will be investigated based on case studies from the prolific and influential contemporary horror cinema of Japan. In order to have a better perspective on the conventions of the genre and understand how the selected films converge or diverge from them, the study will be introduced with a theoretical investigation of the horror genre and a historical investigation of Japanese cinema. After the introduction, the properties of film sound in horror films will be examined individually. The analysis method of this study relies both on measurable data with objective observations and also subjective observations based on the phenomenological experience of horror films. The introduction of the analysis is by examining the atmosphere of horror films, although a vague and an intangible phenomenon, it is a crucial quality that affects the perception and it relies heavily on music and sound design. The framework of the analysis consists of 3 major components based on the theories of Michel Chion (1994), the functional properties of film sound: Anticipation, punctuation, unification and separation. The analysis methodology developed by Taylan Özdemir (2015) based on the physical, spatial and temporal properties of film sound will be utilized to gather and interpret measurable data within these functional properties of film sound. The anticipation function of film sound investigates how sound is employed in order to create and build tension, to create suspense. The punctuation function of film sound is investigated under four categories, these are cinematic shock, sonic emphasis for narrative cueing, silence for emphasis and somatic empathy. While cinematic shock focuses on the abrupt startling moments of horror films, somatic empathy explores how horror films affect the body of the viewer. In the last part of the individual analysis, how film sound contributes to achieving spatial, temporal or atmospheric unification and separation is investigated. In the final section of the study, the developed analysis methodology will be utilized to examine the selected scenes in detail. In conclusion, in this study the previously developed analysis methodologies will be further expanded to horror cinema; and the sonic aesthetic strategies employed for the intended horror film experience and how these emerge in Japanese horror cinema will be investigated.
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ÖgeMIXPREP: Machine learning-based multitrack mix preparation assistant(Graduate School, 2022-08-12) Yücel, İsmet Emre ; Özdemir, Taylan ; 409152003 ; MusicMusic production is a general term for describing a set of complicated processes where artistic and technical efforts are involved. Besides the artistic part, the technical side of some parts has regular iterative works. This study focuses on the mix preparation step of the multitrack audio mixing stage in music production by seeking an automatic software solution regarding the intelligent music production paradigm. The structure of the dissertation consists of four components: Theoretical background with fundamental definitions of knowledge both in music production analysis, instrument recognition theories and applications, the approach and explanation of the development of the proposed assistant software, and last but not least, an experiment stage comprising of performance testing with many multitrack projects. Before diving into the development stage, the perspective and the definition of the mix preparation are presented after introducing the music production with a brief historical background. Afterwards, delineation of the intelligent music production research field apart from subjective interests takes part. Instrument recognition literature takes an important part in the conceptualization of the automatic mix preparation solution. Because of that, an extensive historical background in the instrument recognition field is given without getting into redundant theoretical aspects. Apart from that, a reasonable amount of information about the definition of the fundamental concepts of digital audio, audio content analysis and machine learning seemed appropriate to be mentioned since the audience of this research addressed the music technology field. After providing the fundamental theoretical background, the software development approach for the mix preparation assistant is presented. This section explains the software structure by stating the basic requirements of the mix preparation regarding design concerns of the graphical user interface (GUI) consideration for practical usage. The main issues are the GUI layout, software usage, and building a dataset with a related machine learning model. Eventually, a loop-based audio dataset creation approach and ML model are put forward by testing their performance with many audio files from 80 multitrack audio projects in four musical genres (Pop, Rock, Jazz, Electronic/Dance). The experiment is set concerning instrument families provided in the dataset and genre-related performance estimations of each one. The results were interpreted by accentuating the crucial points of implementing the ML-based mix preparation solution. Detailed evaluation results are in the appendices. This study proposes a concept of intelligent mix preparation software by providing a methodology for the design concept and application.