synchronous speech recognition google code

import io
import os
import time 
# Imports the Google Cloud client libraryfrom google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types


start_time = time.time()
# Instantiates a clientclient = speech.SpeechClient()

# The name of the audio file to transcribefile_name = os.path.join(
    os.path.dirname(__file__),
    '/home/kishlay/Documents/DeepDive/pythonCloudSpeech',
    'obamaLong.flac')

# Loads the audio into memorywith io.open(file_name, 'rb') as audio_file:
    content = audio_file.read()
    audio = types.RecognitionAudio(content=content)

config = types.RecognitionConfig(
    # encoding=enums.RecognitionConfig.AudioEncoding.FLAC,    # sample_rate_hertz=16000,    language_code='en-US',
    enable_word_time_offsets=True)

# Detects speech in the audio fileresponse = client.recognize(config, audio)


for result in response.results:
        alternative = result.alternatives[0]
        print(u'Transcript: {}'.format(alternative.transcript))
        print('Confidence: {}'.format(alternative.confidence))

        for word_info in alternative.words:
            word = word_info.word
            start_time = word_info.start_time
            end_time = word_info.end_time
            print('Word: {}, start_time: {}, end_time: {}'.format(
                word,
                start_time.seconds + start_time.nanos * 1e-9,
                end_time.seconds + end_time.nanos * 1e-9))

total_time = time.time() - start_time
print("seconds " + str(total_time ))
print("minute "+ str((total_time/60)))

print(type(result))
print("_________________________________________________________")