🌊 Sound Wave Analysis

A professional tool for real-time audio signal processing and visualization.
Analyze waveforms, frequencies, and spectral data with precision.

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🚀 Features

📊 Advanced Visualization

• Interactive Graphs: Zoom and pan through Waveforms, Spectrograms, and Phase Responses.
• Spectrum Analysis: Professional-grade Frequency Spectrum (FFT) and Power Spectral Density (PSD) plots.
• Detailed Histograms: Analyze amplitude distribution with precision.

🔬 Signal Analysis

• Audio Metrics: Calculate RMS, dynamic range (dB), and peak amplitude.
• Harmonic Detection: Automatically identify fundamental frequencies and overtones.
• Physics Calculator: Built-in speed of sound calculator for various media (Air, Water, Steel) with temperature adjustments.

🛠️ Key Capabilities

• Multi-Format Support: Auto-converts WAV, MP3, and FLAC inputs.
• Browser Playback: Listen to uploaded audio tracks instantly.
• Export Data: Download analysis results as CSV or text summaries.

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🛠️ Tech Stack

• Frontend: Streamlit
• Processing: NumPy, SciPy, Pydub
• Visualization: Plotly

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📦 Installation

1. Clone the repository:

   git clone https://github.com/TorresjDev/Python-Sound-Wave-Analysis.git
   cd Python-Sound-Wave-Analysis

2. Install dependencies:

   pip install -r requirements.txt

   Note: ffmpeg is required for MP3/FLAC support.

3. Run the application:

   streamlit run streamlit_app.py

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📜 License

This project is licensed under the CC BY-NC 4.0 License.

_{Created by TorresjDev}