Real-Time Audio Transcription
This transcription tool is designed for privacy and speed. By focusing on offline processing, it ensures that sensitive audio never leaves the user's machine, providing high-accuracy text conversion for long-form recordings.
Technology Stack
System Architecture
Input
Audio stream capture using PyAudio.
Engine
SpeechRecognition library with custom model tuning.
Output
Formatted text export for documentation.
The Challenges
Optimizing for different accents and background noise levels.
Handling long audio files without crashing due to memory limits.
Maintaining accuracy in specialized domains (e.g., medical or legal).
The Solutions
Implemented a noise-gating filter to clean audio before processing.
Used stream-processing to transcribe audio in manageable chunks rather than loading entire files.
Added a custom dictionary feature to improve accuracy for technical terms.
Key Results & Metrics
Real-time processing
Custom recognition models
Offline capability