7 releases
0.2.3 | Aug 21, 2024 |
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0.2.2 | Aug 16, 2024 |
0.1.0 | Aug 7, 2024 |
0.0.2-alpha | May 29, 2024 |
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Azure Speech SDK - Rust
Welcome to the Azure Speech SDK, a pure Rust library for interacting with Azure Speech Services.
Overview
This library aims to provide an easy-to-install and straightforward interface for working with Azure Speech Services. Inspired by the official Azure Speech SDK for JavaScript, it is designed to be simple and user-friendly.
The library currently supports the following features:
- Speech Recognition (Speech-to-Text) examples
- Real-time Speech Recognition
- Custom Speech Recognition
- Phrase List
- Conversation Transcriber - Real-time Diarization (Work in Progress)
- Pronunciation Assessment (Work in Progress)
- Speech Synthesis (Text-to-Speech) example
- Real-time Speech Synthesis
- Custom Voice
- SSML Support
- Speech Translation (Work in Progress)
- Intent Recognition (Work in Progress)
- Keyword Recognition (Work in Progress)
The library is currently in the early stages of development, and I am actively working on adding more features and improving the existing ones.
Why This Library?
The motivation behind creating this library includes:
- Providing a Rust implementation of the Azure Speech SDK that eliminates the need for the C++ SDK dependency, offering a simpler alternative to existing implementations.
- Gaining a deeper understanding of Rust. This project serves as a learning experience for me to explore Rust's capabilities and best practices.
Installation
Add this library to your project using the following command:
cargo add azure_speech
And that's it!
You are now ready to use the Azure Speech SDK in your Rust project.
Usage
For usage examples, please refer to the examples folder in the repository. Or check the documentation.
Contributing
We welcome contributions! Feel free to submit pull requests and raise issues. Your feedback and contributions are invaluable in shaping the development of this library.
Support
If you find this project useful, please consider giving it a subscribe on GitHub. Your support is greatly appreciated.
Dependencies
~8–21MB
~333K SLoC