====== Audio Analysis ======

  * [[basics2 |Module Basics Audio: Introduction]]
  * [[tutorial_spectral|Tutorial Spectral Representation with the Sonic Visualiser]]
  * [[tutorial_singing|Tutorial Spectral Representation of Vocal Recordings]]
  * [[tutorium_transcription|Sonic Visualiser as transcription tool]]

  * [[advanced2|Module Advanced Audio: Introduction]]
  * [[tutorium_sound|Tutorial Vamp Plugins Part 1: Sound]]
  * [[tutorium_chroma|Tutorial Vamp Plugins Part 2: Chroma]]
  * [[tutorium_rhythm|Tutorial Vamp Plugins Part 3: Onsets, Beat and Tempo]]
  * [[sonic_annotator|Tutorial Sonic Annotator: Corpus Analyses]]

  * [[en:ki-seminar|Seminar: AI-assisted audio analysis of music and soundscapes]]
 
  * [[installation#sonic_visualiser|Installation of Audio Analysis Software]] 
 
The modules and tutorials provided here use issues of music analysis to introduce students to various options for computer-assisted analysis of audio files. 
The teaching unit //Audio Analysis// is composed of a basic module (//Basics Audio//) and a specialization module (//Advanced Audio//). 

The modules can be done in self-study or within courses. The duration of the teaching unit is approximately 4-6 hours or three 90-minutes sessions with additional preparation, homework and optional deepening. 
But first to the question:

=== Why do we analyze music? ===
There are certainly many different objectives for the analysis of music. Fundamental, however, are the following two motives: 
  * I want to discover and experience, to comprehend and understand something that is hidden to me at first hearing: How does a certain effect of the music come about? What is it about what I hear that makes it beautiful or moving or exciting?
  * Or I want to illustrate or clarify something - especially when I want to convey and share my experience of the music with others. 

Analysis as a discovering and descriptive approach to music always includes to make musical events explicit, and thus is a means for understanding and a prerequisite for communicating music. 

There are a number of applications and objectives of musical analysis. Here are perhaps the most important:
  * Analysis of a single piece of music: the special features of a particular piece are analytically explored. On this basis, an interpretation of the piece can then be made, e.g., with regard to specific effects and meanings. 
  * Style analysis comprises the exploration of the peculiarities of a certain style in a temporally or regionally delimited area or of a personal style. Examples of individual recordings and performances that are typical of a particular style may be examined - or an attempt may be made to derive the style from an analysis of //all// (or as many as possible) pieces. 
  * Music historical perspective: what stylistic directions can be determined? How are these related to each other on a level of tonal design - and how do they differ from each other?

The lesson on audio analysis focuses on recordings - and thus on listening to music. Recordings can be visualized with the help of the computer, especially by displaying the spectral energy distribution in relation to time ([[basics2|Basics Audio]]). For recordings of popular music, ethnic music, but also electroacoustic music, further approaches based on algorithms have been developed ([[advanced2|Advanced Audio]]).  

The project is currently in the testing phase. Feedback is welcome: [[analyse@hfm-weimar.de]]