transcribe_audio.py

from watson_developer_cloud import SpeechToTextV1 as SpeechToText

# Use this method to send the audio to Watson and save the response
def get_and_save_transcript(audio_file, transcript_file):
    with open(audio_file, 'rb') as af:
        resp = stt.recognize(af,
            content_type='audio/wav',
            timestamps=True,
            continuous=True,
            word_confidence=True,
            profanity_filter=False,
            word_alternatives_threshold=0.4)
        with open(transcript_file, 'w') as tf:
            tf.write(json.dumps(resp))

stt = SpeechToText(
          username='<YOUR SERVICE USERNAME>',
          password='<YOUR SERVICE PASSWORD>')

# Make a directory to save our transcripts
if not os.path.exists(join(project_dir, 'split_transcripts')):
    os.makedirs(join(project_dir, 'split_transcripts'))

trancription_jobs = []
transcript_files = []

# Create a new job for each audio segment
for chunk in segment_files:
    transcript_file = '{}.json'.format(splitext(basename(chunk))[0])
    full_transcript_file = join(project_dir, 'split_transcripts', transcript_file)
    transcript_files.append(full_transcript_file)
    job = Process(target=get_and_save_transcript,
                  args=(chunk,full_transcript_file))
    job.start()

    trancription_jobs.append(job)

for job in trancription_jobs:
    job.join()