This repository provides sample code for developers to integrate AlibabaCloud's Bailian Speech SDK, enabling functionalities like speech recognition (speech-to-text) and speech synthesis (text-to-speech). It targets developers looking to build AI-powered applications for voice chat, translation, and analysis, leveraging various large language models alongside speech technologies.

How It Works

The project demonstrates calling AlibabaCloud's Tongyi Speech Large Models, including CosyVoice, Paraformer, SenseVoice, and Gummy, through their DashScope SDK. It showcases integration with LLMs like Tongyi OMNI and Qwen for advanced features such as video/voice chat, speech analysis, and translation. The examples cover real-time and batch processing for various audio sources and scenarios.

Quick Start & Requirements

• Installation: Clone the repository via git clone or download as a zip.
• Prerequisites: An AlibabaCloud account, enabled Bailian Model Service, created API_KEY, and environment configuration. Install the AlibabaCloud DashScope SDK. Specific examples may have additional dependencies detailed in their respective READMEs.
• Resources: Refer to "运行示例代码的前提条件" for detailed setup guidance.

Highlighted Details

• Supports real-time and batch speech recognition and translation from microphones and audio/video files.
• Offers various speech synthesis options, including real-time streaming and custom voice cloning.
• Integrates with LLMs for advanced conversational AI, video chat, and content summarization/Q&A.
• Provides examples for specific use cases like call center bots, meeting analysis, and AI assistants.

Maintenance & Community

• Recent updates include QWEN-OMNI audio/video dialogue and real-time TTS examples.
• Community support is available via DingTalk/WeChat groups.
• A "Gallery" section showcases user-contributed applications.

Licensing & Compatibility

• Licensed under The MIT License.
• Compatible with commercial use and closed-source linking.

Limitations & Caveats

The repository focuses on demonstrating SDK usage; production-ready deployment might require further optimization and error handling. Specific model performance and availability may vary.