Visual Violin

Visual Violin is a Python script that creates a mel spectrogram from an audio file and saves it as an image file. This can be useful for visualizing the frequency content of audio recordings, such as violin performances.

Installation

Install the required libraries using pip:
```
pip install librosa opencv-python
```
Place your audio file in the same directory as the visual_violin.py script.

Usage

Run the visual_violin.py script using Python:
```
python visual_violin.py
```
The script will create a mel spectrogram from the audio file and save it as spectrogram.png in the same directory.

Customization

You can customize the parameters of the mel spectrogram by editing the librosa.feature.melspectrogram function in the visual_violin.py script. For example, you can adjust the number of mel frequency bands (n_mels), the frequency range (fmin and fmax), and the hop length (hop_length). You can also adjust the size and format of the output image by editing the figsize and dpi parameters in the cv2.imwrite function.

Dependencies

Visual Violin requires the following Python libraries:

librosa
opencv-python

License