Differences

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--- birdsongs [2020/05/12 19:51] – givanbela
+++ birdsongs [2020/06/03 10:12] – givanbela
@@ Line 40: / Line 40: @@
   * Great-spotted Woodpecker / Strakapoud velký [Dendrocopos major]
   * Grey heron / Volavka popelavá [Ardea cinerea]
+  * Icterine warbler / Sedmihlásek Hajní [Hippolais Icterina]
   * Mallard duck / Kachna divoká [Anas platyrhynchos]
   * Mute Swan / Labuť velká [Cygnus olor]
@@ Line 56: / Line 57: @@
 The sounds are further analyzed on their spectral/time characteristics, and related to one another in a KNN (neighbouring) map. \\
-The spatial distributions allow us to create dense sound patterns, which are accessed via the DvaMetri choreography (see there). \\
+The spatial distributions allow us to create dense sound patterns, which are accessed via the DvaMetri choreography (see there). (see below illustrations) \\
 Via onomatopeia of the perceived sounds and sequences, we are building a mini-constructed language, adding expressive concatenations and permutations.
+{{:fanfaragdansk:plotmubu-1.png?300|}}
+{{:fanfaragdansk:plotmubu-2.png?300|}}
 For this we are using the Max-MSP libraries from Ircam: [[http://ismm.ircam.fr/mubu/|MUBU]].
 But regarding the [[LOVMi&Sensors]] instruments we are looking into similar Python and Javascript libraries.  Soon more here...
+{{:fanfaragdansk:constructuredlanguages.jpg?300|}}
+Summarized, work to be done:
+  * sonification of a constructed language, with the bird onomatopeia
+  * relating the analyzed sounds via KNN (Machine Learning)
+  * transcriptions of the birdsong sequences, positioning and spatial distributions / vectors
+  * layered kaleidoskopik timings from the birdsong analysis
+  * transmission over FM of the multichannel score to the individual singers