WaveWizard - AI App for Audio Forensic - Install Locally and Analyze Audio

Introduction

In this article, we’re excited to introduce an innovative tool called WaveWizard. This application allows you to analyze your own audio files locally to determine their actual sample rate and bit depth. In simpler terms, it helps you ascertain whether your audio files are of high quality, good quality, or just average.

What is WaveWizard?

WaveWizard is primarily an interactive Gradio app that enables real-time analysis of audio files from your local machine. This powerful tool assists in verifying whether your high-resolution audio files are authentic or originated from lower quality sources. The app detects the true sample rate by analyzing significant frequency content, estimates effective bit depth based on dynamic range, and visualizes the frequency spectrum, spectrogram, and amplitude history.

Additionally, WaveWizard supports multiple files and folders for batch processing, making it a versatile choice for audio analysis.

Understanding Key Audio Terminologies

Before diving into the installation and usage of WaveWizard, it's essential to grasp some fundamental audio terms:

Sample Rate: This refers to how frequently an audio signal is captured and digitized per second. A higher sample rate results in a more accurate representation of sound. Measured in hertz (Hz) or kilohertz (kHz):
- 8 kHz to 22 kHz: Low quality (e.g., phone calls)
- 44.1 kHz: Music CDs (standard quality)
- 48 kHz: High-quality audio
- 96 kHz to 192 kHz: Very high quality, used for professional audio work.
Bit Depth: This indicates the number of bits used to represent each audio sample. A higher bit depth offers greater dynamic range and audio fidelity.

Installation Guide for WaveWizard

To install WaveWizard locally, follow these steps:

Create a virtual environment: This will help in managing dependencies without affecting your system-wide packages.
Install prerequisites: Use pip to install essential libraries such as Torch, TorchAudio, and TorchVision.
Clone the WaveWizard repository: Fetch the necessary files by cloning the repo from GitHub.
Install requirements: Navigate to the root of the cloned repository and run the pip install -r requirements.txt command to install all required packages.
Run the application: Start the Gradio application using the command python wavewizard/core/app.py. This will launch the app on your local server, typically at localhost:7860.

Analyzing Your Audio Files

Once WaveWizard is running, you can easily upload an audio file for analysis. The app will provide insights like sample rate, bit depth, dynamic range, and visual representations of the audio file. Key indicators for assessing audio genuineness include:

Sample rate discrepancies
Unusual bit depth or effective bit depth
Patterns in frequency spectrum visualization
Dynamic range abnormalities
Spectrogram inconsistencies

These indicators can help detect issues like audio editing, tampering, low-quality compression, or AI-generated audio.

Conclusion

WaveWizard simplifies the process of audio analysis, allowing users to examine and verify the quality of their audio files with ease. Whether you are in the field of audio forensic work or simply curious about the quality of your music files, WaveWizard provides the necessary tools to get to the bottom of your audio analysis needs.

Keywords

WaveWizard
Audio analysis
Sample rate
Bit depth
Audio quality
Gradio app
Batch processing
Forensic audio

FAQ

What is WaveWizard?

WaveWizard is a local audio analysis application that helps determine the sample rate, bit depth, and overall quality of audio files.

How do I install WaveWizard?

Install WaveWizard by creating a virtual environment, installing necessary prerequisites, cloning the repo, and running the application using the Gradio framework.

What audio file formats does WaveWizard support?

WaveWizard primarily supports WAV file formats, but you can analyze audio files from various other formats depending on the installed libraries.

How can I determine the quality of my audio file using WaveWizard?

You can examine key indicators such as sample rate, bit depth, dynamic range, and spectral analysis to determine the audio file's quality and genuineness.

What issues can WaveWizard help identify?

WaveWizard can help identify sample rate mismatches, unusual bit depths, compression artifacts, and signs of audio tampering or lossiness.