kyegomez/USM
📦 Open Source Projectkyegomez
A PyTorch implementation of Google's Universal Speech Model (USM) for advanced speech processing.
The USM (Universal Speech Model) repository provides a clean, modular PyTorch implementation of Google's foundational speech architecture. USM is designed to scale across hundreds of languages, making it a critical component for building global-scale speech recognition systems. This implementation focuses on replicating the core structural components of the original model, allowing users to train or fine-tune speech models on custom datasets. Key features include support for large-scale audio feature extraction, transformer-based encoder-decoder architectures, and optimized tensor operations for speech processing. By utilizing PyTorch, the project benefits from a vast ecosystem of tools for distributed training, model quantization, and deployment, making it an accessible entry point for those looking to implement high-performance speech AI without relying on proprietary APIs.
💡Highlights
- ├─PyTorch-based USM architecture
- ├─Supports multilingual speech tasks
- └─Modular design for custom training
🎯For
- ├─Machine Learning Engineers
- ├─Speech Researchers
- └─Audio AI Developers