NLP / Audio ML✓ CompletedOctober 2024
AI Voice Turing Test Model
Developed for the Social Bias Hackathon hosted by Ethical Spectacle Research & ASU. Built a voice-based classification system that identifies human vs. robotic calls using audio feature extraction and NLP-based sentiment understanding. The project included an interactive evaluation demo and bias analysis of classification behavior across demographic groups — earning 3rd place recognition.
Tech Stack
PythonTransformersNLPAudio ProcessingLibrosaHuggingFace
Key Highlights
- 🏆 3rd Place — ASU Social Bias Hackathon
- Audio feature extraction: MFCCs, pitch, cadence, spectral features
- NLP sentiment analysis for transcript-based signals
- Bias analysis across demographic categories
- Interactive demo for real-time call classification