def wav(self, utterance, start=0, end=None):
# nltk.chunk conflicts with the stdlib module 'chunk'
wave = import_from_stdlib('wave')
w = wave.open(self.open(utterance+'.wav'), 'rb')
if end is None:
end = w.getnframes()
# Skip past frames before start, then read the frames we want
w.readframes(start)
frames = w.readframes(end-start)
# Open a new temporary file -- the wave module requires
# an actual file, and won't work w/ stringio. :(
tf = tempfile.TemporaryFile()
out = wave.open(tf, 'w')
# Write the parameters & data to the new file.
out.setparams(w.getparams())
out.writeframes(frames)
out.close()
# Read the data back from the file, and return it. The
# file will automatically be deleted when we return.
tf.seek(0)
return tf.read()
def wav(self, utterance, start=0, end=None):
# nltk.chunk conflicts with the stdlib module 'chunk'
wave = import_from_stdlib("wave")
w = wave.open(self.open(utterance + ".wav"), "rb")
if end is None:
end = w.getnframes()
# Skip past frames before start, then read the frames we want
w.readframes(start)
frames = w.readframes(end - start)
# Open a new temporary file -- the wave module requires
# an actual file, and won't work w/ stringio. :(
tf = tempfile.TemporaryFile()
out = wave.open(tf, "w")
# Write the parameters & data to the new file.
out.setparams(w.getparams())
out.writeframes(frames)
out.close()
# Read the data back from the file, and return it. The
# file will automatically be deleted when we return.
tf.seek(0)
return tf.read()
def wav(self, utterance, start=0, end=None):
# nltk.chunk conflicts with the stdlib module 'chunk'
wave = import_from_stdlib('wave')
w = wave.open(self.open(utterance + '.wav'), 'rb')
# If they want the whole thing, return it as-is.
if start == 0 and end is None:
return w.read()
# Select the piece we want using the 'wave' module.
else:
# Skip past frames before start.
w.readframes(start)
# Read the frames we want.
frames = w.readframes(end - start)
# Open a new temporary file -- the wave module requires
# an actual file, and won't work w/ stringio. :(
tf = tempfile.TemporaryFile()
out = wave.open(tf, 'w')
# Write the parameters & data to the new file.
out.setparams(w.getparams())
out.writeframes(frames)
out.close()
# Read the data back from the file, and return it. The
# file will automatically be deleted when we return.
tf.seek(0)
return tf.read()