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en:basics2 [2021/09/21 13:36]
andres_romero angelegt 		en:basics2 [2021/10/04 07:20] (aktuell)
andres_romero
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 ===== Module Basics Audio ===== ===== Module Basics Audio =====
  
-The module Basics Audio is dedicated to ways of visualizing music recordings using spectrograms. How do I create a meaningful spectrogram? What information can I draw from this visualization about the tonal, melodic and rhythmic design of the recording? The [[tutorium_spektral|Tutorial Spectral Visualizations]] offers a practical introduction to this using a music example and the free software [[https://sonicvisualiser.org/|Sonic Visualiser]]. The second [[tutorium_singing|Tutorial Spectral Representation of Vocal Recordings]] follows up on that.+The module Basics Audio is dedicated to ways of visualizing music recordings using spectrograms. How do I create a meaningful spectrogram? What information can I draw from this visualization about the tonal, melodic and rhythmic design of the recording? The [[tutorium_spektral|Tutorial Spectral Representations]] offers a practical introduction to this using a music example and the free software [[https://sonicvisualiser.org/|Sonic Visualiser]]. The second [[tutorium_singing|Tutorial Spectral Representation of Vocal Recordings]] follows up on that.
  
   * [[tutorium_spectral|Tutorial Spectral Representations]]    * [[tutorium_spectral|Tutorial Spectral Representations]] 
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  * its frequency distribution (vertical axis) as well as   * its frequency distribution (vertical axis) as well as 
  * the relative strength of the individual frequencies (gray or color levels).  * the relative strength of the individual frequencies (gray or color levels).
-In this process, countless Fourier transforms are performed for successive audio sections (analysis windows) and these spectra are "glued" together. Here is the spectrogram of a recording we use in the [[tutorial_spectral|Tutorial: Tutorial Spectral Representations]].+In this process, countless Fourier transforms are performed for successive audio sections (analysis windows) and these spectra are "glued" together. Here is the spectrogram of a recording we use in the [[tutorium_spektral|Tutorial: Spectral Representations]].
  
 {{ :audio01_screenshot03.png?350 |}} {{ :audio01_screenshot03.png?350 |}}
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   * Sound events that have similar sound properties (e.g. a similar overtone structure) and are close to each other in terms of pitch and/or temporal sequence are assigned to one and the same sound source and thus to one sound stream (musically: a voice, an instrument) (//auditory stream integration//, Gestalt principles of similarity and proximity).   * Sound events that have similar sound properties (e.g. a similar overtone structure) and are close to each other in terms of pitch and/or temporal sequence are assigned to one and the same sound source and thus to one sound stream (musically: a voice, an instrument) (//auditory stream integration//, Gestalt principles of similarity and proximity).
  
-How you can create a spectrogram in the //Sonic Visualiser// and how a spectrogram can be interpreted, you will learn in the [[tutorial_spektral |Tutorial: Tutorial Spectral Representations]]. On the one hand, this is about finding an appropriate visualization for what you hear. On the other hand, you can sometimes recognize details in the visualization of a spectrogram that can open up your ears to new and previously unperceived things. +How you can create a spectrogram in the //Sonic Visualiser// and how a spectrogram can be interpreted, you will learn in the [[tutorium_spektral|Tutorial: Spectral Representations]]. On the one hand, this is about finding an appropriate visualization for what you hear. On the other hand, you can sometimes recognize details in the visualization of a spectrogram that can open up your ears to new and previously unperceived things. 
  
 ==== Deepening ==== ==== Deepening ====
  • en/basics2.1632231389.txt.gz
  • Zuletzt geändert: 2021/09/21 13:36
  • von andres_romero