Live speech recognition

I have a Python script using the speech_recognition package to recognize speech and return the text of what was spoken. The transcription has a few seconds delay, however. Is there another way to write this script to return each word as it is spoken? I have another script to do this, using the pysphinx package, but the results are wildly inaccurate.

Install dependencies:

pip install SpeechRecognition
pip install pocketsphinx

Script 1 - Delayed speech-to-text:

import speech_recognition as sr  

# obtain audio from the microphone  
r = sr.Recognizer()  
with sr.Microphone() as source:  
  print("Please wait. Calibrating microphone...")  
  # listen for 5 seconds and create the ambient noise energy level  
  r.adjust_for_ambient_noise(source, duration=5)  
  print("Say something!")  
  audio = r.listen(source)  

# recognize speech using Sphinx  
try:  
  print("Sphinx thinks you said '" + r.recognize_sphinx(audio) + "'")  
except sr.UnknownValueError:  
  print("Sphinx could not understand audio")  
except sr.RequestError as e:  
  print("Sphinx error; {0}".format(e))

Script 2 - Immediate albeit inaccurate speech-to-text:

import os
from pocketsphinx import LiveSpeech, get_model_path
model_path = get_model_path()
speech = LiveSpeech(
verbose=False,
sampling_rate=16000,
buffer_size=2048,
no_search=False,
full_utt=False,
hmm=os.path.join(model_path, 'en-us'),
lm=os.path.join(model_path, 'en-us.lm.bin'),
dic=os.path.join(model_path, 'cmudict-en-us.dict')
)
for phrase in speech: print(phrase)

from Live speech recognition