voiceRecoginz

src/VoiceRecog.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Nov 16 00:54:35 2020
+
+@author: robin
+"""
+
+import speech_recognition as sr
+
+r = sr.Recognizer()
+mic = sr.Microphone()
+
+
+
+def recognize_speech_from_mic(recognizer, microphone):
+
+ # check that recognizer and microphone arguments are appropriate type
+ if not isinstance(recognizer, sr.Recognizer):
+ raise TypeError("`recognizer` must be `Recognizer` instance")
+
+ if not isinstance(microphone, sr.Microphone):
+ raise TypeError("`microphone` must be `Microphone` instance")
+
+ # adjust the recognizer sensitivity to ambient noise and record audio
+ # from the microphone
+ with microphone as source:
+ recognizer.adjust_for_ambient_noise(source)
+ audio = recognizer.listen(source)
+
+ # set up the response object
+ response = {
+ "success": True,
+ "error": None,
+ "transcription": None
+ }
+
+ # try recognizing the speech in the recording
+ # if a RequestError or UnknownValueError exception is caught,
+ # update the response object accordingly
+ try:
+ response["transcription"] = recognizer.recognize_google(audio)
+ except sr.RequestError:
+ # API was unreachable or unresponsive
+ response["success"] = False
+ response["error"] = "API unavailable"
+ except sr.UnknownValueError:
+ # speech was unintelligible
+ response["error"] = "Unable to recognize speech"
+
+ return response
+
+
+'''
+response = recognize_speech_from_mic(r, mic)
+print(response)
+'''

src/test.py

@@ -0,0 +1,18 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Sat Nov 14 18:54:20 2020
+
+@author: robin
+"""
+
+import json
+
+file = '/Users/robin/Downloads/video/src/output/lists/actions_present/'
+
+with open(file + 'train_labeled.json') as json_file:
+ data = json.load(json_file)
+
+
+for key, val in data:
+