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update:补充剩余文档
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@@ -245,3 +245,67 @@ Xiaozhi is an ecosystem. When using this product, you might also want to check o
| coze interface call | Coze | - |
In fact, any LLM that supports openai interface calls can be integrated and used.
### TTS Speech Synthesis
| Usage Method | Supported Platforms | Free Platforms |
|:---:|:---:|:---:|
| API Call | EdgeTTS, Volcano Engine Doubao TTS, Tencent Cloud, Alibaba Cloud TTS, CosyVoiceSiliconflow, TTS302AI, CozeCnTTS, GizwitsTTS, ACGNTTS, OpenAITTS | EdgeTTS, CosyVoiceSiliconflow(partial) |
| Local Service | FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3, MinimaxTTS | FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3, MinimaxTTS |
---
### VAD Voice Activity Detection
| Type | Platform Name | Usage Method | Pricing Model | Notes |
|:---:|:---------:|:----:|:----:|:--:|
| VAD | SileroVAD | Local Usage | Free | |
---
### ASR Speech Recognition
| Usage Method | Supported Platforms | Free Platforms |
|:---:|:---:|:---:|
| Local Usage | FunASR, SherpaASR | FunASR, SherpaASR |
| API Call | DoubaoASR, FunASRServer, TencentASR, AliyunASR | FunASRServer |
---
### Memory Storage
| Type | Platform Name | Usage Method | Pricing Model | Notes |
|:------:|:---------------:|:----:|:---------:|:--:|
| Memory | mem0ai | API Call | 1000 calls/month quota | |
| Memory | mem_local_short | Local Summary | Free | |
---
### Intent Recognition
| Type | Platform Name | Usage Method | Pricing Model | Notes |
|:------:|:-------------:|:----:|:-------:|:---------------------:|
| Intent | intent_llm | API Call | Based on LLM pricing | Uses large model for intent recognition, highly versatile |
| Intent | function_call | API Call | Based on LLM pricing | Uses large model function calls for intent, fast and effective |
---
## Acknowledgments 🙏
| Logo | Project/Company | Description |
|:---:|:---:|:---|
| <img src="./docs/images/logo_bailing.png" width="160"> | [Bailing Voice Dialogue Robot](https://github.com/wwbin2017/bailing) | This project was inspired by [Bailing Voice Dialogue Robot](https://github.com/wwbin2017/bailing) and implemented based on it |
| <img src="./docs/images/logo_tenclass.png" width="160"> | [Tenclass](https://www.tenclass.com/) | Thanks to [Tenclass](https://www.tenclass.com/) for establishing standard communication protocols, multi-device compatibility solutions, and high-concurrency scenario practices for the Xiaozhi ecosystem; providing full-chain technical documentation support for this project |
| <img src="./docs/images/logo_xuanfeng.png" width="160"> | [Xuanfeng Technology](https://github.com/Eric0308) | Thanks to [Xuanfeng Technology](https://github.com/Eric0308) for contributing the function call framework, MCP communication protocol, and plugin call mechanism implementation code, significantly improving front-end device (IoT) interaction efficiency and functional extensibility through standardized instruction scheduling system and dynamic expansion capabilities |
| <img src="./docs/images/logo_huiyuan.png" width="160"> | [Huiyuan Design](http://ui.kwd988.net/) | Thanks to [Huiyuan Design](http://ui.kwd988.net/) for providing professional visual solutions for this project, empowering the product user experience with their design experience serving over a thousand enterprises |
| <img src="./docs/images/logo_qinren.png" width="160"> | [Xi'an Qinren Information Technology](https://www.029app.com/) | Thanks to [Xi'an Qinren Information Technology](https://www.029app.com/) for deepening the visual system of this project, ensuring consistency and extensibility of the overall design style in multi-scenario applications |
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