Voice Assistant Code Library
Comprehensive Python library providing reusable code snippets and components for building local voice assistant applications.
Project Overview
I saw on YouTube that you can run audio models locally to transcribe text or synthesize speech, so I created a few scripts to play around with that. Most importantly, I built tools for recording mic and desktop audio to have fast transcribing capabilities I can flexibly use in different situations — a fast and local way of getting speech into text for later processing with other LLMs or just having it documented (meetings, technical discussions, presentations, etc.).
Key Features
- Mic and desktop audio recording scripts
- Local speech-to-text transcription
- Text-to-speech synthesis
- Flexible audio processing utilities
- Fast, private transcription for meetings, discussions, and presentations
Architecture
Python scripts built with SpeechRecognition, local TTS engines, and PyAudio for robust audio capture and processing. I designed them for flexibility so I can easily integrate them into my personal workflows.
Challenges Solved
Configuring reliable audio capture across different hardware setups while maintaining fast, accurate local transcription for real-world use cases.
Explore the Code
Dive into the implementation details and see how this project was built.