added synthesis python script to repo

code/synthesize_grains.py

@@ -0,0 +1,52 @@
+#from __future__ import division
+import sys
+from pysource import pysound
+from collections import defaultdict
+import numpy as np
+
+
+def main():
+    # Read values from space seperated file to obtain grain sources, times and positions
+    # in the new synthesized file.
+    grain_data = defaultdict(list)
+    with open("../data/MatchData.txt") as datafile:
+        for line in datafile:
+            entries = line.split(" ")
+            grain_data[entries[1]].append(tuple(float(x) * 44.1 for x in entries[2:]))
+
+    # Get information about the target sample
+    target_data = defaultdict()
+    with open("../data/TargetData.txt") as datafile:
+        for line in datafile:
+            entries = line.split(" ")
+            target_data["path"] = entries[0]
+            target_data["channels"] = int(entries[1])
+            target_data["samplerate"] = int(entries[2])
+            target_data["length"] = float(entries[3]) * 44.1
+
+    print target_data
+    print grain_data
+
+    # Create new sample array of the same length as the target sample
+    # Fill the array with zeros
+    sample_array = np.zeros(target_data["length"])
+
+    for key in grain_data:
+        source_file = pysound.AudioFile(key, mode='r')
+        print source_file.frames()
+        print len(grain_data[key])
+        for ind, data in enumerate(grain_data[key]):
+            print ind
+            print data
+            grain = source_file.read_grain(data[0], data[1]-data[0])
+            window = pysound.AudioFile.gen_window("hanning", grain.size)
+            grain = grain * window
+            sample_array[data[2]:data[3]] += grain[0:sample_array[data[2]:data[3]].size]
+    output = pysound.AudioFile.gen_default_wav("./output.wav", overwrite_existing=True)
+    output.write_frames(sample_array)
+    # For each grain in the
+    print sys.executable
+    print "It worked!"
+
+if __name__ == "__main__":
+    main()