elif filter == "ZCR":
self.data.append(sample.zcr)
elif filter == "STE":
self.data.append(sample.ste)
else:
print "Unknown filter type : %s" % filter
def calc(self):
# Calculate the new threshold value
if len(self.data) > 0:
self.threshold = numpy.average(numpy.array(self.data))
return self.threshold
changed = False # It will set to True if the result should be saved.
table = SoundTable()
# For collect the phonetic data from sampling file
stat = {}
print "Reading sound.csv..."
try:
table.open("sound.csv")
except IOError,e:
print "Warn: Fail to open %s. " % ("sound.csv")
changed = True
print "%d of record(s) read." % len(table)
for sound in table:
item = Stat()
def highPass(self):
# A high pass filter on RMS. A dirty hack for right-endpoint searching
while self._sampling[self._index]["RMS"] > 0.03:
self._index = self._index+1
frame = self._sampling[self._index]
self._index = self._index + 1
return frame
try:
target = sys.argv[1]
except:
print "Usage: %s name_of_sample " % sys.argv[0]
exit(0)
table = SoundTable()
print "Reading sound.csv..."
table.open("sound.csv")
samplingFile = SamplingFile()
filename = target + "-sampling.csv"
print "Reading %s..." % filename
samplingFile.open(filename)
filename = target + ".txt"
print "Reading %s..." % filename
f = codecs.open(filename,"r","utf-8")
line = f.readline()
phonetics = [ Ipa(item.strip()) for item in line.split(" ") ]
