How I Did It
Music Connects Us (Cellular A...by Jeris
Uses samples from:
more...Tools I Used
Ableton Live
Samples I Used
music_connects_us samples
Process
In Ableton you can launch clips according to "Follow Actions". So, you can, for example, launch the clip below the one playing once it is done playing. And you can also have the follow action occur at a specific time division and increase or decrease the probability of your clip follow "rules". You can choose stop, play again, previous, next, first, last, or...you can say "Any"...which is what I did in order to randomize the clips launching...and thus, the people talking.
I put each clip in "Legato" so when each one launched it would continue in the same place as where the previous sample left off. So, as long as each sample was somewhat in sync... the words would fall in the correct place with a different person saying each word.
In Summary: Each sample was set to Trigger, set to Legato, set to 1/4 Quantize. Follow action was 0,1,0 and "Any"..and probability set to "1" so...100% probability (Or 1:1) of "following the rules".
The pads, beats, fx, basses, etc...were also given the same automation "rules".
Other Notes
Wikipedia: A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model studied in computability theory, mathematics, physics, complexity science, theoretical biology and microstructure modeling. Cellular automata are also called cellular spaces, tessellation automata, homogeneous structures, cellular structures, tessellation structures, and iterative arrays.[2]
A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood is defined relative to the specified cell. An initial state (time t=0) is selected by assigning a state for each cell. A new generation is created (advancing t by 1), according to some fixed rule (generally, a mathematical function) that determines the new state of each cell in terms of the current state of the cell and the states of the cells in its neighborhood. Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simultaneously, though exceptions are known, such as the stochastic cellular automaton and asynchronous cellular automaton.
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