def s_callback(in_data, frame_count, time_info, status):
print "s_callback"
(output, clean, flac) = get_filenames()
record_wave(output, in_data)
audioProcess.clean_audio(output, clean, flac)
r = speechText.speech_to_txt(flac)
hypotheses = r.get('hypotheses', [])
utterance = ''
confidence = 0
if (len(hypotheses) > 0):
utterance = (hypotheses[0]).get('utterance')
confidence = float((hypotheses[0]).get('confidence'))
print "Utterance: %s"%(utterance)
msg = SpeechAPIResponse(hypothesis=utterance, confidence = confidence)
pubWords.publish(msg)
#publish r to 'wordsHeard'
return (in_data, pyaudio.paContinue)
def s_callback(in_data, frame_count, time_info, status):
print "s_callback"
(output, clean, flac) = get_filenames()
record_wave(output, in_data)
audioProcess.clean_audio(output, clean, flac)
r = speechText.speech_to_txt(flac)
hypotheses = r.get('hypotheses', [])
utterance = ''
confidence = 0
if (len(hypotheses) > 0):
utterance = (hypotheses[0]).get('utterance')
confidence = float((hypotheses[0]).get('confidence'))
print "Utterance: %s"%(utterance)
msg = SpeechAPIResponse(hypothesis=utterance, confidence = confidence)
pubWords.publish(msg)
#try:
# os.remove(output)
# os.remove(clean)
# os.remove(flac)
#except:
# rospy.logerr("Error trying to remove temporary saved files")
return (in_data, pyaudio.paContinue)