krushna4141/VoiceGuard
🔒 Enhance security with VoiceGuard, an AI-driven voice authentication system powered by OpenAI’s ChatGPT and Whisper for reliable voice identification.
What's novel
🔒 Enhance security with VoiceGuard, an AI-driven voice authentication system powered by OpenAI’s ChatGPT and Whisper for reliable voice identification.
Code Analysis
9 files read · 3 roundsA CLI-based voice authentication system that records 5-second audio samples, extracts MFCC/spectral/prosodic features using librosa, transcribes with Whisper, and uses GPT-4 to analyze and compare voice characteristics, storing results in SQLite.
Strengths
Clean modular architecture with clear separation of concerns (recorder, processor, analyzer, database, orchestrator), and reasonable use of standard audio processing techniques (MFCC, spectral features, prosodic analysis) combined with LLM-based voice comparison.
Weaknesses
No tests whatsoever, the core similarity algorithm is naive (simple cosine/normalized difference on aggregated feature statistics rather than proper voice embeddings), and the README overstates the system as 'enterprise-grade' and 'advanced' when it's a basic CLI tool with a simplistic matching approach that would not reliably distinguish speakers.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
13
Contributors
2
Files
19
Active weeks
4
Repository
Language
Python
Stars
1
Forks
0
License
NOASSERTION