initial commit

.gitignore

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+venv
+*pyc

requirements.txt

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+appdirs==1.4.3
+asn1crypto==0.22.0
+cffi==1.10.0
+cryptography==1.8.1
+enum34==1.1.6
+Fabric==1.13.1
+idna==2.5
+ipaddress==1.0.18
+numpy==1.12.1
+packaging==16.8
+paramiko==2.1.2
+pyasn1==0.2.3
+pycparser==2.17
+pyparsing==2.2.0
+scipy==0.19.0
+six==1.10.0

slice.py

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+#! /usr/bin/env python2
+
+import scipy.io.wavfile as sio
+import numpy as np
+from random import shuffle
+from sys import argv
+from fabric.api import *
+from fabric.contrib.console import confirm
+from fabric.contrib.project import rsync_project
+import fabric.operations as op
+from sys import argv
+
+def rms(ss):
+    return np.sqrt(np.abs(np.mean(np.square(ss))))
+
+def findCeiling(ss, factor):
+    slice = len(ss)
+    while not (rms(ss[0:slice]) < 1.2):
+        slice = int(len(ss)/factor)
+        factor += 1
+    return slice
+
+def convert(infile):
+    pcm = sio.read("/tmp/%s.to_silence.wav" % infile)
+    sample_rate, samples = pcm
+
+    # length in minutes
+    length = (len(samples) / float(sample_rate)) / 60.0
+
+    # the first n samples to cut out
+    ceiling = findCeiling(samples, 2)
+
+    # the total number of samples
+    total = float(len(pcm[1]))
+
+    if length <= 8:
+        sio.write("/tmp/%s.silenced.wav" % infile, pcm[0], pcm[1][ceiling:])
+        local("cp /tmp/\"%s.silenced.wav\" ./shortened/\"%s.wav\"" % (infile, infile))
+        local("rm /tmp/\"%s.silenced.wav\"" % infile)
+
+    local("rm /tmp/\"%s.to_silence.wav\"" % infile)
+
+def to_wav(infile):
+    local("ffmpeg -i \"%s\" /tmp/\"%s.to_silence.wav\"" % (infile, infile))
+
+def silence(infile):
+    to_wav(infile)
+    convert(infile)
+
+def silence_all():
+    local("mkdir -p ./shortened")
+    fileset = local("ls .", capture=True).split("\n")
+    shuffle(fileset)
+    for f in fileset:
+        if f.split(".")[-1] in ["ogg", "opus", "m4a", "mp3"]:
+            try:
+                silence(f)
+            except Exception:
+                pass
+
+silence_all()