ASRTK: Automatic Speech Recognition Toolkit

ASRTK is a comprehensive Python toolkit for building and deploying end-to-end Automatic Speech Recognition (ASR) systems.
This project is a rewrite and open-source release of the previously closed-source toolkit known as "YTK".
It provides a streamlined workflow and a collection of utilities to simplify the process of creating, training, and evaluating ASR models.

Key Features

• Data Preparation: Easily prepare and preprocess speech datasets, including data cleaning, normalization, and feature extraction.
• Model Training: Train state-of-the-art ASR models using popular architectures and techniques. (Coming soon)
• Evaluation and Testing: Evaluate the performance of trained models using various metrics and perform inference on new audio data.
• Deployment: Deploy trained ASR models in real-world applications with support for different platforms and environments.

Requirements

• Python 3.9 or higher
• PyTorch 1.7 or higher
• NumPy
• SciPy
• librosa

Getting Started

To get started with ASRTK, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/asrtk.git

2. Navigate to the project directory:

   cd asrtk

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

Running asrtk --help or python -m asrtk --help shows a list of all of the available options and commands:

Contributing

We welcome contributions from the community! Whether it's adding new features, improving documentation, or reporting bugs, please feel free to make a pull request or open an issue.

License

ASRTK is released under the MIT license. Contributions must adhere to this license.