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A Study on the Harmony of Music and TV Lighting Through Music Analysis

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Advanced Multimedia and Ubiquitous Engineering (MUE 2018, FutureTech 2018)

Abstract

This study attempts a methodology that will be able to create a synesthesia of vision and hearing in the TV music shows by selecting the color(s) suitable for the music based on its analysis and interpretation. The production staff is required to study a scientific and objective way of producing the high-quality images that their viewers prefer to. For this reason, a method of harmonizing music and images in the TV music shows has been required. It is intended to find out the color which is well harmonized with the mood of the music by analyzing the sound source, extracting the fundamental frequency and finding characteristics such as pitch and chroma, and use it as a color source for TV lighting. In this paper, one music was selected and analyzed. We used MATLAB’s MIR toolbox. The ultimate goal is to select lighting colors through music analysis.

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References

  1. Farahani G (2017) Autocorrelation-based noise subtraction method with smoothing, overestimation, energy, and cepstral mean and variance normalization for noisy speech recognition. EURASIP J Audio Speech Music Process

    Google Scholar 

  2. Bachu RG, Kopparthi S, Adapa B, Barkana BD (2008) Separation of voiced and unvoiced using zero crossing rate and energy of the speech signal. ASEE student papers proceedings archive

    Google Scholar 

  3. Amado R-G, Filho J-V (2008) Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes. Proc ICALIP 449–454

    Google Scholar 

  4. Staudacher M, Steixner V, Griessner A, Zierhofer C (2016) Fast fundamental frequency determination via adaptive autocorrelation. EURASIP J Audio Speech Music Process

    Google Scholar 

  5. Lartillot O (2017) MIRtoolbox 1.7 user’s manual, Norway Department of Musicology, University of Oslo

    Google Scholar 

  6. Muller M, Klapuri A (2011) Music signal processing. In: 2011 international conference on acoustic, speech and signal processing

    Google Scholar 

  7. Huh J (2017) Smart grid test bed using OPNET and power line communication. Adv Comput Electr Eng (IGI Global, Pennsylvania, USA) 1–425

    Google Scholar 

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Correspondence to Jun-Ho Huh or Hyun-Suk Kim .

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© 2019 Springer Nature Singapore Pte Ltd.

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Lee, JM., Huh, JH., Kim, HS. (2019). A Study on the Harmony of Music and TV Lighting Through Music Analysis. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_63

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  • DOI: https://doi.org/10.1007/978-981-13-1328-8_63

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1327-1

  • Online ISBN: 978-981-13-1328-8

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