Process every linear16 44.1khz audio file in same level directory through Google Speech API, returns single JSON keys are filenames

batchinterpret

#!/usr/bin/env python
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Google Cloud Speech API sample application using the REST API for batch
processing.

Example usage: python transcribe.py resources/audio.raw
"""

# [START import_libraries]
import argparse
import base64
import json
import os

import googleapiclient.discovery
# [END import_libraries]


# [START authenticating]
# Application default credentials provided by env variable
# GOOGLE_APPLICATION_CREDENTIALS
def get_speech_service():
    return googleapiclient.discovery.build('speech', 'v1beta1')
# [END authenticating]

def get_current_directory_files():
    files = [f for f in os.listdir('.') if os.path.isfile(f)]
    for f in files:
        print "Discovered " + f
    return files

def main():
    """Transcribe the given audio file.

    Args:
        speech_file: the name of the audio file.
    """

    mapResponse = {}

    fileList = get_current_directory_files()
    count = len(fileList)
    curr = 1
    for filename in fileList:
        # First print the raw json response
        if ".raw" not in filename:
            print("******************\n\t\tWILL NOT PROCESS " + filename + "\n******************")
            continue
        print(" + + + + + + + + + + " + str(curr) + " / " + str(count) + " + + + + + + + + + + ")
        print(" + + + + + + + + + + " + filename + " + + + + + + + + + + ")
        mapResponse[filename] = google_speech_api(filename)
        curr = curr + 1

    transcribedJSONResponse = json.dumps(mapResponse, indent=2)

    with open("TRANSCRIPTION", 'w') as transcriptionFile:
        transcriptionFile.write(transcribedJSONResponse)
        transcriptionFile.close()

def google_speech_api(filename):
    # [START construct_request]
    with open(filename, 'rb') as speech:
        # Base64 encode the binary audio file for inclusion in the JSON
        # request.
        speech_content = base64.b64encode(speech.read())

    service = get_speech_service()
    service_request = service.speech().syncrecognize(
        body={
            'config': {
                # There are a bunch of config options you can specify. See
                # https://goo.gl/KPZn97 for the full list.
                'encoding': 'LINEAR16',  # raw 16-bit signed LE samples
                'sampleRate': 44100,  # 16 khz
                # See http://g.co/cloud/speech/docs/languages for a list of
                # supported languages.
                'languageCode': 'en-US',  # a BCP-47 language tag
            },
            'audio': {
                'content': speech_content.decode('UTF-8')
                }
            })
    # [END construct_request]
    # [START send_request]
    response = service_request.execute()

    rawResponse = json.dumps(response, indent=2)
    print(rawResponse)

    # Now print the actual transcriptions
    for result in response.get('results', []):
        print('Result:')
        for alternative in result['alternatives']:
            print(u'  Alternative: {}'.format(alternative['transcript']))
    # [END send_request]
    return response


# [START run_application]
if __name__ == '__main__':
    # parser = argparse.ArgumentParser(
    #     description=__doc__,
    #     formatter_class=argparse.RawDescriptionHelpFormatter)
    # parser.add_argument(
    #     'speech_file', help='Full path of audio file to be recognized')
    # args = parser.parse_args()
    main()#args.speech_file
    # [END run_application]