Rdzleo
c6ecdb124c
来源: Kapi commit 63b21fd (NULL fix) + a369796 (软件 AEC) 完整移植
改动:
- components/common/src/volc_rtc.c
on_global_error 加 message ? message : "(null)" 防御.
解决: idle ≥10 分钟后服务端 session 超时 / NAT 表过期触发的
printf("%s", NULL) → strlen panic → 设备重启.
- main/CMakeLists.txt
REQUIRES 末尾加 esp-sr (提供 esp_aec.h 同步 API).
- main/application.h
+7 个 AEC 成员 + 5 个函数声明 (recorder/player pipeline 后).
- main/application.cc
+InitAec / DeinitAec / AppendRefSamples / GetDelayedRef / ApplyAEC (~170 行).
OnAudioOutput 三个 codec output 位置都加 AppendRefSamples hook.
ReadAudio 两条路径 (recorder_pipeline + codec 直读) 加 lazy InitAec
+ ApplyAEC + target_samples = max(samples, chunk_size).
PHASE8_DIAG_ENABLE 默认 0 (诊断埋点已完成根因定位, 关闭减少日志噪声).
实测效果 (30 分钟设备验证):
AI 说话: mic=285 ref=8310 clean=31 (消除 89%)
AI 说话: mic=660 ref=7489 clean=57 (消除 91%)
AI 说话: mic=156 ref=2748 clean=0 (消除 100%)
用户说话: mic=224 ref=8 clean=224 (passthrough 正常)
资源占用:
Flash +59 KB (+1.2%)
Internal SRAM +35-50 KB (+10-15%)
PSRAM +10-15 KB (<0.2%)
Core 1 CPU +6-12% @240MHz
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
XiaoZhi AI Chatbot
Introduction
👉 Build your AI chat companion with ESP32+SenseVoice+Qwen72B!【bilibili】
👉 Equipping XiaoZhi with DeepSeek's smart brain【bilibili】
👉 Build your own AI companion, a beginner's guide【bilibili】
Project Purpose
This is an open-source project released under the MIT license, allowing anyone to use it freely, including for commercial purposes.
Through this project, we aim to help more people get started with AI hardware development and understand how to implement rapidly evolving large language models in actual hardware devices. Whether you're a student interested in AI or a developer exploring new technologies, this project offers valuable learning experiences.
Everyone is welcome to participate in the project's development and improvement. If you have any ideas or suggestions, please feel free to raise an Issue or join the chat group.
Learning & Discussion QQ Group: 376893254
Implemented Features
- Wi-Fi / ML307 Cat.1 4G
- BOOT button wake-up and interruption, supporting both click and long-press triggers
- Offline voice wake-up ESP-SR
- Streaming voice dialogue (WebSocket or UDP protocol)
- Support for 5 languages: Mandarin, Cantonese, English, Japanese, Korean SenseVoice
- Voice print recognition to identify who's calling AI's name 3D Speaker
- Large model TTS (Volcano Engine or CosyVoice)
- Large Language Models (Qwen, DeepSeek, Doubao)
- Configurable prompts and voice tones (custom characters)
- Short-term memory, self-summarizing after each conversation round
- OLED / LCD display showing signal strength or conversation content
- Support for LCD image expressions
- Multi-language support (Chinese, English)
Hardware Section
Breadboard DIY Practice
See the Feishu document tutorial:
👉 XiaoZhi AI Chatbot Encyclopedia
Breadboard demonstration:
Supported Open Source Hardware
- LiChuang ESP32-S3 Development Board
- Espressif ESP32-S3-BOX3
- M5Stack CoreS3
- AtomS3R + Echo Base
- AtomMatrix + Echo Base
- Magic Button 2.4
- Waveshare ESP32-S3-Touch-AMOLED-1.8
- LILYGO T-Circle-S3
- XiaGe Mini C3
- Moji XiaoZhi AI Derivative Version
- CuiCan AI pendant
- WMnologo-Xingzhi-1.54TFT
- SenseCAP Watcher
Firmware Section
Flashing Without Development Environment
For beginners, it's recommended to first use the firmware that can be flashed without setting up a development environment.
The firmware connects to the official xiaozhi.me server by default. Currently, personal users can register an account to use the Qwen real-time model for free.
👉 Flash Firmware Guide (No IDF Environment)
Development Environment
- Cursor or VSCode
- Install ESP-IDF plugin, select SDK version 5.3 or above
- Linux is preferred over Windows for faster compilation and fewer driver issues
- Use Google C++ code style, ensure compliance when submitting code
Developer Documentation
- Board Customization Guide - Learn how to create custom board adaptations for XiaoZhi
- IoT Control Module - Understand how to control IoT devices through AI voice commands
AI Agent Configuration
If you already have a XiaoZhi AI chatbot device, you can configure it through the xiaozhi.me console.
👉 Backend Operation Tutorial (Old Interface)
Technical Principles and Private Deployment
👉 Detailed WebSocket Communication Protocol Documentation
For server deployment on personal computers, refer to another MIT-licensed project xiaozhi-esp32-server