Granular synthesis

The technique of producing new sound waves with microsecond samples is generally termed granular synthesis.

Max Dovey is working on manipulating audio recordings about the limits of time, exploring how the audio can be treated in a way that works at the given time scales. The following python script can be used as a filter with say sox to process the samples of an audio file and play it in real time.

filtersamples.py

import sys, struct 

c = 0
samples = []
numsamples = 17640 # 0.4 sec
# numsamples = 1764  # 0.040 sec == 40 ms == 0.040 * 44100 => 1764
# numsamples = 176 # 0.004 sec == 4 ms == 0.004 * 44100
# numsamples = 44 # 0.001 sec == 1 ms == 0.001 * 44100
# numsamples = 441 #0.01 sec == 1dec == 0.01 * 44100 = 441
# numsamples = 44 #0.001 sec == 1centi == 0.001 * 44100 = 44.1
# numsamples = int(4.41) #0.0001 sec == 1milli == 0.0001 * 44100 = 4.41
# numsamples = int(1) #0.000001 sec == 1micro == 0.000001 * 44100 = 0.0441

loop = 10

while True:
    sample = sys.stdin.read(2*numsamples)
    if not sample:
        break

    samples = struct.unpack("H"*numsamples, sample)

    # sys.stderr.write(str(n)+"/n")
    # o = max(35000,n)
    # take your slice and repeat
    for i in range(loop):
        out = struct.pack("H"*numsamples, *samples)
        sys.stdout.write(out)

And the command to play the audio through the python script, starts from an input audio, pipes the (raw) bytes through the python script, and finally piped back to sox's play command to play. Note the matching options to be able to in and out of a raw format.

sox input.aiff -t raw -e unsigned-integer -r 44100 -c 1 - | python filtersamples.py | play -t raw -e unsigned-integer -r 44100 -c 1 -b 16 -