A speech-to-speech translation MacOS app powered by Whisper and Google Translate

This repo's goal was to develop an appliction testing Whisper's capabilities for real-time voice transcription. Implementing python package speech_recognition made this possible by processing audio input per lingual pauses.

1. Record and efficiently transcribe, translate, and synthesize speech for CPU-dependent hardware between 85 different languages.

2. Save up to 7 different recordings at a time.

1. Run the application voicebridge_1.0.0_darwin-x86_64.
2. Select your input and output languages.
3. Press REC to start recording.
4. Press again to stop recording.
5. Press PLAY to play the current recording.
6. Press SAVE to turn saving ON.
   1. When enabled, press presets 1-6 to store the current recording there.
7. Press presets 1-6 when saving is OFF to play the saved recording.

• OpenAI Whisper (Open-vino)
• deep_translator
• speech_recognition
• gTTS
• customtkinter

    This application utilizes multithreading to simutaneously record and transcribe audio. The front-end is implemented using Python package customtkinter. Object-orientated design is demonstrated via Base and Decoder objects. The app has integration with Google Translate APIs and invokes offline package openai-whisper. This application was compiled to be standalone using py2app.

Voicebridge requires an internet connection due to Google API use.

• To implement offline functionality, look into Argos Translate and pyttsx3

• This software could be paired with voicechat applications to enable real-time translation and speech synthesis between users who speak different languages.

• This software could be deployed on small devices for people to use when traveling overseas.

  • Extra helpful if offline functionality is implemented

Pull requests are welcomed. For major changes, please open an issue first to discuss what you would like to change.