Export the result of cloud speech API to JSON file using Python

问题

I am trying to convert an audio file to text in an Indian language via Google Speech API. The API returns an object of the type "google.cloud.speech_v1.types.SpeechRecognitionAlternative". I am trying to export the result to .json file. I am very new to python. This is the first project I am doing in python.

    import io
    import os
    import pickle

    # Imports the Google Cloud client library
    from google.cloud
    import speech
    from google.cloud.speech
    import enums
    from google.cloud.speech
    import types

    client = speech.SpeechClient()

    audio = types.RecognitionAudio(uri = "gs://storage-staples-canada/client-data/TapTapTap.wav")
    config = types.RecognitionConfig(
      encoding = enums.RecognitionConfig.AudioEncoding.LINEAR16,
      sample_rate_hertz = 16000,
      language_code = 'hi-IN',
      enable_word_time_offsets = True,
      speech_contexts = [speech.types.SpeechContext(phrases = ['एक जंगल था।', 'ख़ूब घना जंगल।', 'एक दिन झमाझम पानी बरसा।', 'थोड़ी देर बाद बारिश रुक गई। सारे जानवर बाहर निकले।', 'तभी आवाज़ आई टप टप टपक सब घबरा गए।', 'सबने सोचा यह कैसी आवाज़ है? सारे बड़े जानवर डर कर भाग गए।', 'चींटी ने कहा- चलो साथियो, हम टप- टप- टपक को ढूँढें। चूहा बोला- शाबाश चींटी बहन!', 'जुगनू बोला- मैं आगे रहूँगा। बिल्ली बोली- मैं साथ हूँ।', 'ख़रगोश ने कहा- मैं भी पीछे नहीं रहूँगा। सब टप- टप- टपक को ढूँढने चले।', 'फिर सबने देखा, बरसात का पानी पत्तों पर टपक रहा था', 'टप- टप- टपक।'])], )

    operation = client.long_running_recognize(config, audio)
    print('Waiting for operation to complete...')
    response = operation.result(timeout = 90)

    # Gets the time - offsets of each of the words in the audio

    for result in response.results:
      alternative = result.alternatives[0]# The first alternative is the most likely one
    for this portion.
    print('Transcript: {}'.format(result.alternatives[0].transcript))
    print('Confidence: {}'.format(result.alternatives[0].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))

When I try to convert the results of the API(stored in response variable in the code above) to the dictionary. The error message I get "TypeError: 'SpeechRecognitionAlternative' object is not iterable". Can you help me convert and export the result to a .json file?

回答1:

For this task you can use command line tool gcloud. For example

gcloud ml speech recognize-long-running \
  gs://storage-staples-canada/client-data/TapTapTap.wav \
  --language-code=hi-IN --encoding=linear16 --sample-rate=16000 \
  --include-word-time-offsets \
  --hints="एक जंगल था।,ख़ूब घना जंगल।"
  --format=json

You can add --log-http flag to see API interactions which can help you fix your python code.

回答2:

I'd recommend using protobuf↔json converters from google's protobuf library:

from google.protobuf.json_format import MessageToJson

# the below line is taken from the code above, which contains the google api results
response = operation.result(timeout = 90)
result_json = MessageToJson(response)

Then use json.dump to write result_json. Please see How do I write JSON data to a file?

回答3:

from google.protobuf.json_format import MessageToDict
result_json = MessageToDict(response)
print(result_json)

import json
with open("result.json", "w") as jsonFile:
    json.dump(result_json, jsonFile, indent=4, sort_keys=True)

来源：https://stackoverflow.com/questions/48787264/export-the-result-of-cloud-speech-api-to-json-file-using-python

标签

python

json

dictionary

google-speech-api