def _createPhoneticList(self):
for row in self._labelFile:
sample = Sample()
sample.timestamp = row[0]
sample.phonetic = Ipa.simplifySymbol(row[2])
record = self._samplingFile.search(float(row[0]));
sample.zcr = float(record["ZCR"])
sample.variance = float(record["Spectrum Variance"])
sample.rms = float(record["RMS"])
sample.str = float(record["STE"])
self._phoneticList.append(sample)
def __setitem__(self,key,value):
k = Ipa.simplifySymbol(key)
self._data[k] = value
for f in files:
filename , ext = os.path.splitext(f)
if ext == ".wav":
print "Reading %s dataset..." % filename
dataset = Dataset(filename)
try:
dataset.open()
datasetList.append(dataset)
except IOError,e:
print e
# Collecting threshold value from dataset
for dataset in datasetList:
sampleList = dataset.phoneticList()
for sample in sampleList:
phonetic = Ipa.simplifySymbol(sample.phonetic)
if not stat.has_key(phonetic):
print "Warning! Phonetic not found in sound.csv: %s" % sample.phonetic
print "It will be added to sound.csv"
item = Stat()
item.sound = Sound(
phonetic = phonetic,
ipa = phonetic,
filter = "RMS", # Just the default value. It should not be used.
threshold = 0,
remarks = "Added by linne-tuner. Please update the filter type"
)
item.threshold = item.sound.threshold
stat[phonetic] = item
table[phonetic] = item.sound
changed = True
def __getitem__(self,key):
k = Ipa.simplifySymbol(key)
return self._data[k]