AudioMosaic is an Audio Dataset Manager designed specifically for Machine Learning projects. It provides a simple and intuitive interface to organize, manage, and preprocess audio datasets, making it easier to work with audio data in your machine learning pipeline.
- Dataset Organization: AudioMosaic allows you to organize your audio datasets into projects, making it easier to manage multiple datasets for different machine learning tasks.
- Data Import: Import audio files from various sources, such as local directories, remote URLs, or cloud storage.
- Metadata Management: Annotate and manage metadata associated with your audio files, including labels, tags, and any other relevant information.
- Preprocessing: Apply various preprocessing techniques to your audio data, such as audio augmentation, feature extraction, and signal processing.
- Audio Augmentation: Perform data augmentation on your audio files to increase the diversity and robustness of your dataset. Apply techniques like time stretching, pitch shifting, background noise addition, and more.
- Visualization: Visualize audio waveforms, spectrograms, and other audio representations to gain insights into your dataset.
- Data Splitting: Split your dataset into training, validation, and testing subsets, ensuring proper evaluation of your machine learning models.
- Export: Export your processed dataset in a format suitable for your machine learning framework or library.
- Clone the AudioMosaic repository
# 1. Clone the repo
git clone https://github.com/THasthika/AudioMosaic.git
# 2. Navigate to the directory
cd AudioMosaic
# 3. Install the deps (Poetry)
poetry install
# ... (still pending)Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue in the AudioMosaic repository. See our Contributing Guidelines for more information.
AudioMosaic is licensed under the MIT License.
We would like to thank the open-source community for their valuable contributions and the developers of the libraries and tools that AudioMosaic depends on.
If you have any questions, comments, or feedback, please feel free to reach out to us by opening an issue in the AudioMosaic repository.
Happy audio dataset management!