# print(infile)

# print(outfile)

# print(length)

# return

myaudio = AudioSegment.from_file(infile, "wav")

chunk_length_ms = length # pydub calculates in millisec

chunks = make_chunks(myaudio, chunk_length_ms) # Make chunks of one sec

for i, chunk in enumerate(chunks):

chunk_name = "chunk{0}.wav".format(i)

print("exporting", chunk_name)

chunk.export(chunk_name, format="wav")

r = sr.Recognizer()

with sr.AudioFile(chunk_name) as source:

audio = r.record(source)

# recognize speech using Google Speech Recognition

try:

# to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`

# instead of `r.recognize_google(audio)`

txt = r.recognize_google(audio) + " "

with open(outfile, 'a') as f:

f.write(txt)

except sr.UnknownValueError:

print("Ehm... sorry not understood this one.")

except sr.RequestError as e:

print("Request failed; {0}".format(e))

SCRIPT_NAME = 'transcriber'

parser = argparse.ArgumentParser(prog=SCRIPT_NAME)

parser.add_argument('infile', type=str, help="Name of the input wave file.")

parser.add_argument('outfile', type=str, help="Name of the output text file.")

parser.add_argument("-l", "--length", nargs='?', type=int, const=1000, default=1000,

help="Length of audio chunks in milliseconds.")

parser.add_argument('--verbose', action='store_true', help='Increase verbosity.')

print('{} {}'.format(SCRIPT_NAME, __version__))

args = parser.parse_args()

# check the first switches

if args.verbose:

log.basicConfig(level=log.DEBUG)