wavtokenizer large 75token interface

Introduction

The wavtokenizer-large-75token-interface is a streamlined version of the WavTokenizer-large-speech-75token model. It provides an efficient interface with distinct encoder and decoder components to facilitate audio processing tasks.

Architecture

• Model Size Reduction: The original model size has been reduced from 1.75GB to approximately 330MB by retaining only the essential components required for inference.
• Component Split:
  • Encoder: Responsible for audio encoding, with a size of 82MB.
  • Decoder: Manages decoding and synthesis, with a size of 248MB.

Training

The documentation does not include specific details about the training process for the wavtokenizer-large-75token-interface. It focuses on providing an interface for the existing WavTokenizer model.

Guide: Running Locally

1. Clone the Repository: Clone the GitHub repository to your local machine.
2. Install Dependencies: Ensure you have the required dependencies installed, which might include libraries for audio processing and machine learning frameworks.
3. Set Up Environment: Set up your environment according to the instructions provided in the repository.
4. Run the Model: Execute the model using the provided scripts, ensuring that the encoder and decoder components are correctly integrated.

For optimal performance, consider using cloud GPUs from providers such as AWS, Google Cloud, or Azure, especially for large-scale audio processing tasks.

License

This project is licensed under the MIT License, allowing for flexible use and modification of the code.