🎤 Smart Audio Optimization API

An intelligent FastAPI-based system that analyzes audio input and provides actionable suggestions to optimize microphone and sound settings for real-world scenarios like stage performances, podcasts, and live events.

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🚀 Features

• 📦 File validation (type & size)
• 🔊 Volume detection using RMS
• 🌪️ Noise level detection using Zero Crossing Rate
• 🎵 Audio classification (Speech vs Music)
• 🧠 Rule-based intelligent suggestion engine
• ⚡ FastAPI-powered REST API

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🧠 How It Works

Audio Input → Validation → Feature Extraction → Analysis → Suggestions

🔍 Extracted Features:

• RMS (Root Mean Square) → Measures loudness
• Zero Crossing Rate → Estimates noise level
• Spectral Centroid → Distinguishes speech vs music

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📌 Example Response

{
  "analysis": {
    "volume": 0.08,
    "noise": "high",
    "type": "speech"
  },
  "suggestions": [
    "Reduce background noise or enable noise suppression",
    "Move microphone closer to speaker",
    "Reduce microphone gain to avoid distortion"
  ]
}

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🛠️ Tech Stack

• FastAPI
• Python
• Librosa
• NumPy

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⚙️ Installation

git clone https://github.com/dyson-025/smart-audio-optimization-api.git
cd smart-audio-optimization-api

Create virtual environment

python -m venv venv
venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

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▶️ Run the Server

uvicorn app.main:app --reload

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🌐 API Docs

Open in browser:

http://127.0.0.1:8000/docs

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🎯 Use Cases

• 🎤 Stage performance audio setup
• 🎙️ Podcast audio optimization
• 🎧 Music system tuning
• 📡 Pre-event sound checks

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🚀 Future Improvements

• 🤖 AI-based suggestions (LLM integration)
• 🎚️ Real-time audio processing
• 🌐 Frontend dashboard (React)
• 🔌 Integration with sound systems/mixers

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👨‍💻 Author

Aditya Aryan

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💡 Inspiration

Built to help performers and creators quickly diagnose and improve audio quality without requiring deep technical knowledge.