Google Cloud Speech API を使った音声の文字起こし手順

$ export GOOGLE_APPLICATION_CREDENTIALS=[3.で取得したJSON名].json

$ nano transcribe.py

# !/usr/bin/env python
# coding: utf-8
import argparse
import io
import sys
import codecs
import datetime
import locale

def transcribe_gcs(gcs_uri):
    from google.cloud import speech
    from google.cloud.speech import enums
    from google.cloud.speech import types
    client = speech.SpeechClient()

    audio = types.RecognitionAudio(uri=gcs_uri)
    config = types.RecognitionConfig(
        sample_rate_hertz=16000,
        encoding=enums.RecognitionConfig.AudioEncoding.FLAC,
        language_code='en-US')

    operation = client.long_running_recognize(config, audio)

    print('Waiting for operation to complete...')
    operationResult = operation.result()

    d = datetime.datetime.today()
    today = d.strftime("%Y%m%d-%H%M%S")
    fout = codecs.open('output{}.txt'.format(today), 'a', 'shift_jis')

    for result in operationResult.results:
      for alternative in result.alternatives:
          fout.write(u'{}\n'.format(alternative.transcript))
    fout.close()

if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument(
        'path', help='GCS path for audio file to be recognized')
    args = parser.parse_args()
    transcribe_gcs(args.path)

language_code='en-US')

language_code='ja-JP')

$ python transcribe.py gs://バケット名/音声データ名.flac

and not.
 We have just attended this big Tatum Outlet
 and we held a pydata event it was actually the first I did it
 and some of these slides are actually problem, says talk to and so at strata we saw many people talking about the Duke talking about Big Data there were looking at using Java in a management
 and there was a whole lot of our versus Python language rewards on Facebook
 the Travis and I were not content with the state of things we saw that python to play a very significant role Travis made the slide that's from The Little Prince that shows a snake swallowing the open
 he was also talking about using compilers make python faster
 it was also not that pilot event that we were very fortunate to have weido been awesome stopping by and we talked to him about things like the matrix multiplication operator we talked about coding expressions and things like that
 and so this actually his picture show does Travis and West McKinney who's the greater pandas and Guido van Rossum
 add
 and we ask we don't fix the packaging problem he told us that we should do it ourselves
 and so we did and that's how it came up with Honda and Anaconda which I think quite elegantly solves the difficult packaging problems for the Scientific Games
 so we accepted the challenge and so for those who don't know what Anaconda is very quickly I'll give you it is basically a very simple way and very reliable way to get final versions of many very popular typical to build packages in libraries in the python ecosystem