Reverse Speech Analyzer
Professional multi-layer AI-powered analysis with phonetic detection, linguistic coherence scoring, and context correlation using Groq LLMs
Advanced Analysis Pipeline
Reverse Speech Analyzer uses theory-based 15-20 second segmentation with multi-layer analysis including phonetic extraction, AI linguistic validation, and context correlation. Unlike simple audio reversers, this is a complete analysis system that distinguishes meaningful patterns from noise.
Built with Next.js 15 and TypeScript, integrating Groq's Whisper Large V3 Turbo for transcription and Llama 3.3 70B for linguistic coherence scoring with IPA-based phoneme analysis and statistical significance calculations.
AI Technology
Core Capabilities
Theory-Based Segmentation
Automatic 15-20 second window segmentation per reverse speech theory with configurable overlap.
Phonetic Analysis
IPA-based phoneme extraction with statistical significance calculation to distinguish patterns from noise.
AI Linguistic Validation
Groq Llama 3.3 70B evaluates grammar, semantics, and coherence to filter gibberish.
Context Correlation
Compares reversed content with forward speech to analyze thematic and semantic connections.
Audio Processing
Noise reduction, highpass/lowpass filtering, and normalization applied before transcription.
Confidence Scoring
Multi-factor weighted scoring combining transcription, linguistics, statistics, and context.
Technical Specifications
Getting Started
Quick setup guide for Reverse Speech Analyzer
Install Dependencies
npm install
Configure API Key
Edit .env.local with your Groq API key:
NEXT_PUBLIC_GROQ_API_KEY=your_groq_api_key
Start Development Server
npm run dev
Upload & Analyze
Open http://localhost:3001, upload audio, and run multi-layer analysis.
Ready to Analyze Speech Patterns?
Professional multi-layer analysis with AI-powered validation and phonetic detection