def vocapia(wavfile):
    cmd = "curl -ksS -u password REST-URL -F method=vrbs_trans -F " \
          "model=eng -F audiofile=@" + wavfile + " > ../resources/static/XMLs/dynamic_recording.xml"
    os.system(cmd)
    try:
        # parse xml document to retrieve transcript
        mydoc = minidom.parse("../resources/static/XMLs/dynamic_recording.xml")
        words = mydoc.getElementsByTagName('Word')
        sentence = ""
        for elem in words:
            sentence = sentence + elem.firstChild.data[1:]
        return sentence

    # catch "xml.parsers.expat.ExpatError: no element found: line 1, column 0" 
    # -> empty xml means nothing was transcribed
    except ExpatError:
        print("Nothing was transcribed yet. Resuming...")
        return ""

# Thread Function for parallel STT
def thread_func(text):
    
    while(True):
        
        time.sleep(5)  # give time for some dialogue to happen
        new_text = text + vocapia("recording.wav")
        print("new_text")

# sound-device file and queue
wav_file = "recording.wav"
q = queue.Queue()

def callback(indata, frames, time, status):
    if status:
        print(status, file=sys.stderr)
    q.put(indata.copy())

try:
    # delete any prior recordings
    os.remove(wav_file)

    device_info = sd.query_devices(0, 'input')
    # soundfile expects an int, sounddevice provides a float:
    samplerate = int(device_info['default_samplerate'])

    # start thread that handles the stt by sending wav_file to vocapia
    th = threading.Thread(target=thread_func, args=(session_text,))
    th.start()

    with sf.SoundFile(wav_file, mode='x', samplerate=samplerate, channels=1) as file:
        with sd.InputStream(samplerate=samplerate, callback=callback, channels=1):
            print('Started recording. Press Ctrl+C to stop the recording.')
            while True:
                file.write(q.get())

except KeyboardInterrupt:

    print('\nRecording finished.

(Mar-13-2021, 04:53 PM)Larz60+ Wrote: sending to a wav. file is very inefficient.
there are a bunch of packages available https://pypi.org/project/SpeechRecognition/ (I've used but a few, so won't recommend one over the other (except to say that SpeechRecognition https://pypi.org/project/SpeechRecognition/ seems popular)