introducing neo's ear for monitoring sounds

ear.py

@@ -0,0 +1,88 @@
+#!/usr/bin/python3
+
+"""
+ RoboVision
+ ______________
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+  This program is distributed in the hope that it will be useful,
+  but WITHOUT ANY WARRANTY; without even the implied warranty of
+  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+  GNU General Public License for more details.
+
+  You should have received a copy of the GNU General Public License
+  along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+ Project Author/Architect: Navjot Singh <weavebytes@gmail.com>
+
+"""
+
+#
+# an ear to continuously hear for sounds and make decisions
+#
+
+import time
+from multiprocessing import Queue
+from threading import Thread
+
+from PyQt5.QtCore import QObject, pyqtSlot, pyqtSignal
+
+from utils import speak_text
+
+from global_signals import g_emitter
+
+import speech_recognition as sr
+
+from logger import get_logger
+log = get_logger()
+
+
+class Ear(QObject, Thread):
+
+    def __init__(self, parent=None):
+        super().__init__(parent)
+
+
+    def get_audio(self):
+        """
+        get audio from the microphone. 
+        the SpeechRecognition package is used to automatically stop listening when the user stops speaking. 
+
+        function returns the raw binary audio string (PCM)
+        """
+        l = sr.Microphone.list_microphone_names()
+        log.debug(l)
+
+        r = sr.Recognizer()
+
+        di = l.index("default")
+
+        with sr.Microphone(device_index=di) as source:
+        #with sr.Microphone() as source:
+            log.debug("listening for audio from microphone")
+            #r.adjust_for_ambient_noise(source)
+            audio = r.listen(source)
+            log.debug("listening done")
+
+        # convert audio to raw_data (PCM)
+        raw_audio = audio.get_raw_data()
+
+        # recognize speech using Google Speech Recognition
+        text = r.recognize_google(audio)
+
+        return text
+
+    def monitor_sounds(self):
+        #TODO check audio sounds and make decisions
+        pass
+
+    def run(self):
+        """
+        thread function to continuously 
+        """
+        while True:
+            monitor_sounds()