def maus_annotations(tgfile, corpusid, itemid):
"""Read annotations from a MAUS generated TextGrid file and generate a collection
of annotation objects"""
collection = AnnotationCollection([], corpusid, itemid, SecondAnnotation)
tiers = {'MAU': MAUS.phonetic,
'ORT': MAUS.orthographic,
'KAN': MAUS.canonical,
}
tg = TextGrid.load(tgfile)
for i, tier in enumerate(tg):
# generate annotations for this tier
last = None
for row in tier.simple_transcript:
(start, end, label) = row
if label == "":
label = "#"
ann = collection.add_annotation(tiers[tier.tier_name()], label, start, end)
if last != None:
last.set_next(ann)
last = ann
collection.link_children(tiers['ORT'], tiers['KAN'])
collection.link_children(tiers['ORT'], tiers['MAU'])
return collection
for subdir, dirs, files in os.walk(root):
for file in unmatched:
tmp = file[file.rfind('/')+1:]
tmp = tmp[:-9]+'.flac'
if tmp in files:
print "yes"
anFiles[file] = subdir+'/'+tmp
'''
#splits wav files into acoustic feature files according to TextGrid content
prog = 1
for key, value in anFiles.iteritems():
if len(value) > 0:
print str(prog)+' /772'
prog += 1
annot = TextGrid.load(key)
origAudio = wave.open(value, 'r')
frameRate = origAudio.getframerate()
nChannels = origAudio.getnchannels()
sampWidth = origAudio.getsampwidth()
count = 0
#iterate over items/tiers
#print key
for i, tier in enumerate(annot):
for (xmin, xmax, atype) in tier.simple_transcript:
start = float(xmin)
end = float(xmax)
