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Speech Detection

This script uses the OpenCV, Azure Speech Recognition, gTTS, and VLC libraries to detect faces in the webcam video feed and recognize speech in the audio input. It generates a response to the user's speech using OpenAI's GPT-3 API, and plays the generated speech using the VLC library. It also displays a GUI with a textbox and buttons to change the language for speech recognition.

Requirements

  • OpenCV
pip install opencv-python
  • Azure Speech Recognition
pip install azure-cognitiveservices-speech
  • gTTS
pip install gTTS
  • VLC
download https://www.videolan.org/vlc/download-windows.en-GB.html
  • tkinter
pip install tk
  • OpenAI API key
pip install openai

Usage

  1. Set the environment variable azure_api_key to your Azure API key.
  2. Set the environment variable openai_api_key to your OpenAI API key.
  3. Run the script: python main.py
  4. The script will start the webcam and display the video feed in a window.
  5. When a face is detected in the video, the script will create a rectangle around it.
  6. When speech is detected, it will transcribe the speech to text, generate a response, generate speech from the response text, and play the generated speech.
  7. The transcribed speech and generated response will be displayed in the GUI textbox.
  8. Click the "English" or "German" button in the GUI to change the language for speech recognition.
  9. Press "Q" in runtime to end the script.

Copyright

Copyright @ Leon Burghardt, 2022. All rights reserved.