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📚 ReNoise Documentation Index

📖 Complete Documentation Guide

Welcome to ReNoise! This directory contains all the documentation you need to understand, use, and deploy ReNoise models.

🎯 Quick Navigation

🚀 Getting Started (Start Here!)

  • QUICK_START.md - 30-second overview and basic usage
    • Choose your model in 10 seconds
    • Installation instructions
    • Basic Python examples
    • Common use cases

📊 Main Documentation

  • README.md - Complete product line documentation
    • Full version details (v1, v2, v3, v3.2)
    • Architecture specifications
    • Performance benchmarks
    • Training data overview
    • Deployment guide

🔍 Detailed Comparison

  • MODEL_COMPARISON.md - In-depth model comparison
    • Side-by-side specifications
    • Performance metrics
    • Decision matrix
    • Migration guide
    • Cost analysis

💡 Why ReNoise?

  • WHY_RENOISE.md - Marketing & positioning
    • Why ReNoise is better than competitors
    • Real-world examples
    • Technical excellence
    • Cost comparison
    • Getting started guide

📋 Documentation by Topic

For Beginners

  1. Start with QUICK_START.md
  2. Read README.md sections 1-3
  3. Choose your model using decision tree
  4. Follow basic usage examples

For Developers

  1. Read README.md - Architecture section
  2. Check MODEL_COMPARISON.md - Technical specs
  3. Review code examples in QUICK_START.md
  4. See deployment guide in README.md

For Businesses

  1. Read WHY_RENOISE.md - Competitive advantage
  2. Check MODEL_COMPARISON.md - Cost analysis
  3. Review README.md - Use cases
  4. Contact support for enterprise solutions

For Researchers

  1. Read README.md - Technical specifications
  2. Check MODEL_COMPARISON.md - Architecture details
  3. Review training data section
  4. See citation format

For DevOps/Infrastructure

  1. Read deployment section in README.md
  2. Check platform support table
  3. Review performance benchmarks
  4. See Docker/cloud deployment guides

🎯 Choose Your Model

Quick Decision Tree

What's your primary use case?

├─ Microcontroller/IoT?
│  └─ Use v1 (300-500K params, 2-3 MB)
│
├─ Embedded device?
│  └─ Use v2 (1-2M params, 5-8 MB)
│
├─ Desktop/Mobile app?
│  └─ Use v3 (7.67M params, 28 MB)
│
└─ Production/Cloud?
   └─ Use v3.2 (8.3M params, 30 MB) ⭐

Detailed Comparison

Model Size Speed Quality Best For
v1 2-3 MB <1ms 8.0/10 MCU/IoT
v2 5-8 MB 1-2ms 8.5/10 Embedded
v3 28 MB 2-3ms 9.0/10 Desktop/Mobile
v3.2 30 MB 2-3ms 9.5/10 Production ⭐

See MODEL_COMPARISON.md for detailed comparison.

📚 Documentation Structure

docs/
├── INDEX.md (this file)
│   └─ Navigation guide
│
├── QUICK_START.md
│   ├─ 30-second overview
│   ├─ Installation
│   ├─ Basic usage
│   └─ Common use cases
│
├── README.md (MAIN)
│   ├─ Product line overview
│   ├─ Version details (v1-v3.2)
│   ├─ Architecture specs
│   ├─ Performance metrics
│   ├─ Training data
│   ├─ Deployment guide
│   └─ Technical specifications
│
├── MODEL_COMPARISON.md
│   ├─ Side-by-side comparison
│   ├─ Performance benchmarks
│   ├─ Decision matrix
│   ├─ Migration guide
│   └─ Cost analysis
│
└── WHY_RENOISE.md
    ├─ Competitive advantage
    ├─ Real-world examples
    ├─ Technical excellence
    ├─ Cost comparison
    └─ Getting started

🔗 Cross-References

From README.md

From QUICK_START.md

From MODEL_COMPARISON.md

From WHY_RENOISE.md

📊 Key Statistics

Models

  • 4 versions (v1, v2, v3, v3.2)
  • 300K to 8.3M parameters
  • 2-30 MB model sizes
  • 8.0-9.5/10 quality

Performance

  • 70-99%+ noise suppression
  • <1ms to 2-3ms latency
  • 95%+ speech preservation
  • Real-time capable

Training

  • 36,000+ audio files
  • 150+ hours of content
  • 28 diverse speakers
  • Real-world noise conditions

Deployment

  • 4 platform tiers (MCU to cloud)
  • ONNX export (v3.2)
  • GPU acceleration (optional)
  • Mobile-ready (iOS, Android)

❓ FAQ

Which document should I read first?

Answer: Start with QUICK_START.md for a 30-second overview, then read README.md for complete details.

How do I choose a model?

Answer: Use the decision tree in this file or see MODEL_COMPARISON.md for detailed guidance.

Where's the API documentation?

Answer: See QUICK_START.md for basic usage and README.md for deployment details.

How do I deploy to production?

Answer: See deployment section in README.md for cloud/edge/mobile guides.

Is ReNoise better than Krisp?

Answer: Yes! See WHY_RENOISE.md for detailed comparison.

Can I use ReNoise commercially?

Answer: Yes! MIT license allows commercial use. See README.md for details.

How do I contribute?

Answer: See CONTRIBUTING.md in main repository.

Where do I report bugs?

Answer: GitHub Issues in main repository.

🎯 Common Paths Through Documentation

Path 1: "I want to use ReNoise quickly"

  1. QUICK_START.md - 5 min
  2. Run example code - 5 min
  3. Done! 🎉

Path 2: "I need to choose the right model"

  1. QUICK_START.md - Decision tree - 2 min
  2. MODEL_COMPARISON.md - Detailed specs - 10 min
  3. Choose model - 1 min
  4. Done! ✅

Path 3: "I want to understand ReNoise deeply"

  1. README.md - Overview - 15 min
  2. MODEL_COMPARISON.md - Details - 20 min
  3. WHY_RENOISE.md - Technical excellence - 10 min
  4. Done! 🏆

Path 4: "I want to deploy to production"

  1. README.md - Deployment section - 10 min
  2. MODEL_COMPARISON.md - Performance - 5 min
  3. Follow deployment guide - 30 min
  4. Done! 🚀

Path 5: "I want to know why ReNoise is best"

  1. WHY_RENOISE.md - Competitive advantage - 15 min
  2. MODEL_COMPARISON.md - Cost analysis - 5 min
  3. Done! 💡

📞 Support & Contact

Getting Help

  • Quick questions: See FAQ section above
  • Technical issues: GitHub Issues
  • General questions: GitHub Discussions
  • Enterprise support: support@sfuwispr.com

Reporting Issues

  1. Check existing issues first
  2. Provide minimal reproducible example
  3. Include model version and platform
  4. Attach error logs if applicable

Contributing

  1. Fork repository
  2. Create feature branch
  3. Make changes
  4. Submit pull request
  5. Wait for review

📈 Documentation Roadmap

Current (v1.0)

  • ✅ Quick start guide
  • ✅ Main README
  • ✅ Model comparison
  • ✅ Why ReNoise guide
  • ✅ This index

Planned (v1.1)

  • 🔄 API reference
  • 🔄 Training guide
  • 🔄 Deployment guide (detailed)
  • 🔄 Troubleshooting guide

Future (v2.0)

  • 📅 Video tutorials
  • 📅 Interactive demos
  • 📅 Community examples
  • 📅 Research papers

📄 Document Metadata

Document Purpose Audience Read Time
QUICK_START.md Fast overview Everyone 5 min
README.md Complete guide Developers 20 min
MODEL_COMPARISON.md Detailed specs Technical 15 min
WHY_RENOISE.md Marketing Business 10 min
INDEX.md Navigation Everyone 5 min

🎓 Learning Path

Beginner (Total: 30 min)

  1. QUICK_START.md (5 min)
  2. README.md sections 1-3 (15 min)
  3. Try basic example (10 min)

Intermediate (Total: 60 min)

  1. README.md full (20 min)
  2. MODEL_COMPARISON.md (20 min)
  3. Try deployment (20 min)

Advanced (Total: 90 min)

  1. All documents (40 min)
  2. Review code (30 min)
  3. Plan custom solution (20 min)

✅ Checklist: Before You Start

  • Read QUICK_START.md
  • Choose your model
  • Install dependencies
  • Download checkpoint
  • Run basic example
  • Read relevant sections of README.md
  • Plan your deployment
  • Start using ReNoise!

🎉 You're Ready!

Pick a document above and start exploring. ReNoise is the best speech denoising solution available.

Questions? Check the FAQ or contact support.

Ready to denoise? Start with QUICK_START.md! 🎙️

Last Updated: December 7, 2025
Version: 1.0
Status: Complete ✅

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