commit 7c51542918bb8714b1eee5e941e60f304fd31205
Author: impressionyang <impressionyang@impressionyang.top>
Date:   Wed May 20 16:10:11 2026 +0800

    Initial commit: Impress ASR Input 项目基础框架
    
    功能:
    - 基于 ONNX 的语音识别引擎
    - 多语言支持（中文、英文、日语、韩语）
    - 模型加载器（支持 SenseVoice/Whisper/Paraformer）
    - 音频采集和处理模块（VAD、重采样、归一化）
    - 文本输出模块（剪贴板）
    - CLI 命令行工具
    - Electron GUI 界面
    - Windows x64 打包配置
    
    文档:
    - PRD 产品需求文档
    - README 项目说明
    - 开发指南
    - Windows 构建指南
    
    Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

diff --git a/.gitignore b/.gitignore
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+node_modules/
+dist/
+release/
+*.log
+.DS_Store
+Thumbs.db
+.idea/
+.vscode/
+*.swp
+*.swo
+*~
+.env
+.env.local
+models/*.onnx
+models/*.ort
+test/recordings/
+coverage/
diff --git a/PRD.md b/PRD.md
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+# Impress ASR Input - 产品需求文档 (PRD)
+
+## 1. 文档信息
+
+| 项目 | 内容 |
+|------|------|
+| 产品名称 | Impress ASR Input |
+| 版本 | v1.0.0 |
+| 创建日期 | 2026-05-15 |
+| 技术栈 | Node.js + ONNX Runtime |
+
+---
+
+## 2. 产品概述
+
+### 2.1 产品定位
+
+Impress ASR Input 是一款基于 Node.js 开发的桌面端语音识别输入工具，利用 ONNX 深度学习推理引擎实现高精度的多语言语音转文本功能。
+
+### 2.2 核心价值
+
+- **本地运行**：无需联网，保护隐私，无 API 调用成本
+- **多语言支持**：支持中文、英文、日语、韩语等多种语言
+- **低延迟**：准实时识别，1 秒内完成短句识别
+- **跨平台**：支持 Windows、macOS、Linux 三大主流操作系统
+
+---
+
+## 3. 功能需求
+
+### 3.1 核心功能
+
+#### F1 - 语音采集
+| 优先级 | 描述 |
+|--------|------|
+| P0 | 支持系统默认麦克风音频采集 |
+| P0 | 支持选择不同音频输入设备 |
+| P1 | 支持音频参数配置（采样率、声道数） |
+| P2 | 支持 USB 蓝牙耳机等外接设备 |
+
+#### F2 - 语音识别引擎
+| 优先级 | 描述 |
+|--------|------|
+| P0 | 基于 ONNX Runtime 的本地推理 |
+| P0 | 支持中文普通话识别 |
+| P0 | 支持英文识别 |
+| P1 | 支持中日英混合识别 |
+| P1 | 支持语音端点检测（VAD） |
+| P2 | 支持更多语种（日语、韩语等） |
+
+#### F3 - 文本输出
+| 优先级 | 描述 |
+|--------|------|
+| P0 | 实时显示识别结果 |
+| P0 | 支持文本复制到剪贴板 |
+| P1 | 支持模拟键盘输入（全局热键触发） |
+| P1 | 支持识别结果历史查看 |
+| P2 | 支持导出为文本文件 |
+
+#### F4 - 批量转写
+| 优先级 | 描述 |
+|--------|------|
+| P0 | 支持 WAV/MP3/FLAC格式音频文件导入 |
+| P0 | 支持批量文件队列处理 |
+| P1 | 支持输出 SRT/VTT字幕格式 |
+| P1 | 支持说话人分离（多声道场景） |
+| P2 | 支持进度显示和断点续转 |
+
+### 3.2 辅助功能
+
+#### F5 - 用户界面
+| 优先级 | 描述 |
+|--------|------|
+| P0 | 系统托盘图标常驻 |
+| P0 | 简洁的控制面板（开始/停止/配置） |
+| P1 | 识别实时波形可视化 |
+| P1 | 深色/浅色主题切换 |
+| P2 | 多语言界面（中/英） |
+
+#### F6 - 配置管理
+| 优先级 | 描述 |
+|--------|------|
+| P0 | 模型文件路径配置 |
+| P0 | 热键配置（开始/停止录音） |
+| P1 | 识别语言选择 |
+| P1 | 输出格式配置 |
+| P2 | 配置文件导入/导出 |
+
+---
+
+## 4. 技术架构
+
+### 4.1 整体架构
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                      用户界面层 (UI Layer)                    │
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
+│  │  系统托盘    │  │  控制面板    │  │  识别结果展示窗口    │  │
+│  └─────────────┘  └─────────────┘  └─────────────────────┘  │
+└─────────────────────────────────────────────────────────────┘
+                             │
+┌─────────────────────────────────────────────────────────────┐
+│                    业务逻辑层 (Business Layer)                │
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
+│  │  音频采集    │  │  识别引擎    │  │  文本输出/模拟输入    │  │
+│  │  模块        │  │  模块        │  │  模块               │  │
+│  └─────────────┘  └─────────────┘  └─────────────────────┘  │
+└─────────────────────────────────────────────────────────────┘
+                             │
+┌─────────────────────────────────────────────────────────────┐
+│                    核心引擎层 (Core Layer)                    │
+│  ┌─────────────────────────────────────────────────────────┐│
+│  │              ONNX Runtime 推理引擎                       ││
+│  │  ┌───────────┐  ┌───────────┐  ┌───────────────────┐   ││
+│  │  │ 音频预处理 │  │ 声学模型   │  │ 语言模型/解码器    │   ││
+│  │  └───────────┘  └───────────┘  └───────────────────┘   ││
+│  └─────────────────────────────────────────────────────────┘│
+└─────────────────────────────────────────────────────────────┘
+```
+
+### 4.2 技术选型
+
+| 模块 | 技术方案 | 说明 |
+|------|----------|------|
+| 运行时 | Node.js 20+ | LTS 版本，支持最新 ES 特性 |
+| UI 框架 | Electron | 跨平台桌面应用 |
+| ONNX 推理 | onnxruntime-node | 官方 Node.js 绑定 |
+| 音频采集 | node-audio | 跨平台音频 API |
+| 键盘模拟 | robotjs / @nut-tree/nut-js | 全局热键和文本输入 |
+| 构建工具 | Electron-Builder | 打包分发 |
+
+### 4.3 模型选型
+
+| 模型 | 来源 | 说明 |
+|------|------|------|
+| SenseVoice | Alibaba DAMO | 多语言识别，高精度 |
+| Whisper | OpenAI | 开源多语言模型 |
+| Paraformer | Alibaba DAMO | 中文优化模型 |
+
+**推荐方案**：优先采用 SenseVoice 或 Whisper 的 ONNX 量化版本（int8），平衡精度与性能。
+
+---
+
+## 5. 非功能需求
+
+### 5.1 性能要求
+
+| 指标 | 目标值 | 说明 |
+|------|--------|------|
+| 首字延迟 | < 500ms | 开始说话到第一个字出现的时间 |
+| 短句识别 | < 1s | 5 秒以内音频的完整识别时间 |
+| CPU 占用 | < 30% | 待机状态，单核占用 |
+| 内存占用 | < 500MB | 模型加载后基础内存 |
+| 模型大小 | < 300MB | 单语言模型，量化后 |
+
+### 5.2 兼容性要求
+
+| 平台 | 最低版本 | 说明 |
+|------|----------|------|
+| Windows | Windows 10 | x64 架构 |
+| macOS | macOS 11+ | Intel / Apple Silicon |
+| Linux | Ubuntu 20.04+ | glibc 2.31+ |
+
+### 5.3 安全要求
+
+- 所有音频数据本地处理，不上传云端
+- 不收集用户语音样本
+- 配置文件不含敏感信息
+
+---
+
+## 6. 项目里程碑
+
+### Phase 1 - MVP（v0.1.0）
+- [ ] 项目基础框架搭建
+- [ ] ONNX Runtime 集成
+- [ ] 单语言（中文）识别 demo
+- [ ] 基础命令行界面
+
+### Phase 2 - 核心功能（v0.5.0）
+- [ ] 多语言支持（中英）
+- [ ] Electron GUI 界面
+- [ ] 实时识别功能
+- [ ] 剪贴板输出
+
+### Phase 3 - 完善功能（v1.0.0）
+- [ ] 键盘模拟输入
+- [ ] 批量文件转写
+- [ ] 配置管理界面
+- [ ] 安装包打包分发
+
+### Phase 4 - 增强功能（v1.5.0+）
+- [ ] 更多语种支持
+- [ ] 说话人分离
+- [ ] 自定义热词
+- [ ] 插件系统
+
+---
+
+## 7. 风险评估
+
+| 风险 | 概率 | 影响 | 应对措施 |
+|------|------|------|----------|
+| ONNX 模型性能不足 | 中 | 高 | 准备量化模型，优化推理管线 |
+| 跨平台音频采集兼容性问题 | 高 | 中 | 备选方案：Web Audio API + Electron |
+| 模型文件过大 | 中 | 中 | 提供模型下载器，按需下载 |
+| 键盘模拟被安全软件拦截 | 低 | 高 | 提供白名单引导，备用剪贴板方案 |
+
+---
+
+## 8. 附录
+
+### 8.1 参考资料
+
+- [ONNX Runtime](https://onnxruntime.ai/)
+- [SenseVoice Model](https://github.com/FunAudioLLM/SenseVoice)
+- [Whisper ONNX](https://github.com/guillaumekln/faster-whisper)
+- [Electron 文档](https://www.electronjs.org/docs)
+
+### 8.2 竞品分析
+
+| 产品 | 优势 | 劣势 |
+|------|------|------|
+| 讯飞输入法 | 识别精度高 | 需联网，隐私顾虑 |
+| 谷歌语音输入 | 多语言支持好 | 需 Chrome，依赖云端 |
+| Whisper Desktop | 本地运行 | 性能开销大，界面简陋 |
+
+---
+
+**文档状态**: 初稿
+**下次更新**: 待技术评审后更新
diff --git a/README.md b/README.md
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+# Impress ASR Input
+
+基于 ONNX 的本地语音识别输入工具，支持多语言实时识别和音频文件转写。
+
+## 特性
+
+- 🎯 **本地运行** - 无需联网，保护隐私，无 API 调用成本
+- 🌍 **多语言支持** - 中文、英文、日语、韩语等
+- ⚡ **低延迟** - 准实时识别，1 秒内完成短句识别
+- 💻 **跨平台** - 支持 Windows、macOS、Linux
+
+## 快速开始
+
+### 系统要求
+
+- Node.js >= 20.0.0
+- Windows 10+ / macOS 11+ / Ubuntu 20.04+
+
+### 安装
+
+```bash
+# 克隆项目
+cd impress-asr-input
+
+# 安装依赖
+npm install
+
+# 编译 TypeScript
+npm run build
+```
+
+### 放入模型文件
+
+将 ONNX 模型放入 `models/` 目录：
+
+```bash
+models/
+├── sensevoice.onnx    # 推荐：阿里达摩院多语言模型
+├── whisper.onnx       # OpenAI 多语言模型
+└── paraformer.onnx    # 阿里达摩院中文模型
+```
+
+模型下载地址：
+- SenseVoice: https://huggingface.co/FunAudioLLM/SenseVoice
+- Whisper: https://huggingface.co/onnx-community/whisper-base
+- Paraformer: https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punct
+
+### 使用方法
+
+```bash
+# 命令行模式 - 开始语音识别
+npm start -- start
+
+# 指定语言
+npm start -- start -l en
+
+# 转写音频文件
+npm start -- transcribe input.wav -o output.txt
+
+# Electron GUI 模式（需要先安装 electron）
+npm install electron --save-dev
+npm run dev:electron
+```
+
+## Windows 构建
+
+### 方法一：在 Windows 上构建（推荐）
+
+```powershell
+npm run build:win       # 构建安装包
+npm run build:win:zip   # 构建 ZIP 包
+```
+
+### 方法二：在 Linux 上构建
+
+```bash
+export ELECTRON_MIRROR="https://npmmirror.com/mirrors/electron/"
+npm run build:win:dir   # 构建解压版本
+```
+
+详见：[docs/BUILD_WINDOWS.md](docs/BUILD_WINDOWS.md)
+
+## 项目结构
+
+```
+impress-asr-input/
+├── src/
+│   ├── core/
+│   │   ├── audio-processor.ts    # 音频处理（VAD、重采样）
+│   │   ├── audio-recorder.ts     # 音频采集模块
+│   │   ├── index.ts              # 模块导出
+│   │   ├── model-loader.ts       # 模型加载器
+│   │   ├── speech-recognizer.ts  # ONNX 语音识别引擎
+│   │   └── text-output.ts        # 文本输出模块
+│   ├── ui/
+│   │   └── index.html            # Electron UI 界面
+│   ├── electron-main.ts          # Electron 主进程
+│   ├── main.ts                   # CLI 命令行入口
+│   ├── preload.ts                # Electron 预加载脚本
+│   └── utils/
+│       └── config.ts             # 配置管理
+├── models/                       # ONNX 模型文件目录
+│   ├── README.md                 # 模型说明
+│   └── models.config.json        # 模型配置
+├── docs/
+│   ├── BUILD_WINDOWS.md          # Windows 构建指南
+│   └── DEVELOPMENT.md            # 开发指南
+├── scripts/
+│   ├── postinstall.js            # 安装后脚本
+│   └── prepare-build.js          # 打包准备脚本
+├── dist/                         # TypeScript 编译输出
+├── release/                      # Windows 打包输出
+├── test/
+│   └── audio-processor.test.ts   # 单元测试
+├── package.json
+├── tsconfig.json
+└── PRD.md                        # 产品需求文档
+```
+
+## 开发计划
+
+| 版本 | 状态 | 内容 |
+|------|------|------|
+| v0.1.0 | ✅ 完成 | 基础框架、单语言识别 demo |
+| v0.5.0 | 🔄 进行中 | 多语言支持、Electron GUI |
+| v1.0.0 | ⏳ 待开发 | 键盘模拟、批量转写、打包分发 |
+
+## 命令行选项
+
+```bash
+# 启动语音识别
+npm start -- start [选项]
+
+选项:
+  -l, --language <lang>  识别语言 (默认：zh)
+  -m, --model <path>     模型文件路径
+  -o, --output <mode>    输出模式：clipboard|keyboard|both (默认：clipboard)
+
+# 转写音频文件
+npm start -- transcribe <文件> [选项]
+
+选项:
+  -l, --language <lang>  识别语言 (默认：zh)
+  -m, --model <path>     模型文件路径
+  -o, --output <file>    输出文件路径
+```
+
+## 技术栈
+
+| 模块 | 技术 |
+|------|------|
+| 运行时 | Node.js 20+ |
+| UI 框架 | Electron |
+| ONNX 推理 | onnxruntime-web |
+| 剪贴板 | clipboardy |
+| 命令行 | commander |
+| 构建工具 | electron-builder |
+
+## 许可证
+
+MIT
+
+## 贡献
+
+欢迎提交 Issue 和 Pull Request！
+
+## 相关资源
+
+- [ONNX Runtime](https://onnxruntime.ai/)
+- [SenseVoice Model](https://github.com/FunAudioLLM/SenseVoice)
+- [Whisper ONNX](https://github.com/guillaumekln/faster-whisper)
+- [Electron 文档](https://www.electronjs.org/docs)
diff --git a/build/BUILD_README.txt b/build/BUILD_README.txt
new file mode 100644
index 0000000..7cb7e5e
--- /dev/null
+++ b/build/BUILD_README.txt
@@ -0,0 +1,17 @@
+Impress ASR Input - Windows 打包说明
+=====================================
+
+构建命令:
+  npm run build:win        - 创建 NSIS 安装程序和 ZIP 包
+  npm run build:win:dir    - 仅创建未打包的文件目录
+
+输出位置:
+  release/Impress ASR Input-0.1.0-win-x64-setup.exe  (安装程序)
+  release/Impress ASR Input-0.1.0-win-x64.zip        (压缩包)
+
+模型文件:
+  请将下载的 ONNX 模型放入 models/ 目录
+  支持的模型：sensevoice.onnx, whisper.onnx, paraformer.onnx
+
+图标文件:
+  请将 icon.ico (256x256) 放入 build/ 目录
diff --git a/docs/BUILD_WINDOWS.md b/docs/BUILD_WINDOWS.md
new file mode 100644
index 0000000..a5ce798
--- /dev/null
+++ b/docs/BUILD_WINDOWS.md
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+# Windows 构建指南
+
+## 构建说明
+
+由于网络问题，在 Linux 环境下构建 Windows 版本可能需要多次尝试。建议在 Windows 系统上直接构建，或使用以下方法。
+
+## 方法一：在 Windows 上构建（推荐）
+
+### 1. 环境准备
+
+```powerslhell
+# 安装 Node.js 20+
+# 从 https://nodejs.org 下载安装
+
+# 克隆项目
+git clone <repository-url>
+cd impress-asr-input
+
+# 安装依赖
+npm install
+```
+
+### 2. 放入模型文件
+
+将 ONNX 模型放入 `models/` 目录：
+- `sensevoice.onnx`
+- `whisper.onnx`
+- `paraformer.onnx`
+
+### 3. 构建
+
+```powershell
+# 构建 ZIP 包（无需签名）
+npm run build:win:zip
+
+# 构建 NSIS 安装程序
+npm run build:win
+```
+
+输出目录：`release/`
+
+## 方法二：在 Linux 上构建（需要良好网络）
+
+```bash
+# 设置 Electron 镜像
+export ELECTRON_MIRROR="https://npmmirror.com/mirrors/electron/"
+
+# 构建解压目录版本（用于测试）
+npm run build:win:dir
+
+# 构建 ZIP 包
+npm run build:win:zip
+```
+
+## 构建输出
+
+```
+release/
+├── win-unpacked/              # 未打包版本（用于测试）
+│   ├── Impress ASR Input.exe
+│   ├── resources/
+│   └── ...
+├── Impress ASR Input-0.1.0-win-x64.zip    # ZIP 压缩包
+└── Impress ASR Input-0.1.0-win-x64-setup.exe  # NSIS 安装程序
+```
+
+## 常见问题
+
+### 1. Electron 下载失败
+
+```bash
+# 使用国内镜像
+export ELECTRON_MIRROR="https://npmmirror.com/mirrors/electron/"
+export npm_config_electron_mirror="https://npmmirror.com/mirrors/electron/"
+```
+
+### 2. winCodeSign 下载失败
+
+这是 electron-builder 依赖的签名工具，可以：
+- 添加 `"sign": null` 到 `package.json` 的 `build` 字段禁用签名
+- 或手动下载：https://github.com/electron-userland/electron-builder-binaries/releases
+
+### 3. 图标文件缺失
+
+构建时会使用默认图标，如需自定义：
+1. 准备 `icon.ico` (256x256)
+2. 放入 `build/` 目录
+3. 在 `package.json` 中添加 `"icon": "build/icon.ico"`
+
+## 手动分发（无打包工具）
+
+如果 electron-builder 无法使用，可以手动创建分发包：
+
+```bash
+# 1. 编译 TypeScript
+npm run build
+
+# 2. 复制 Electron 和资源文件
+cp -r dist/ release/my-app/
+cp -r node_modules/ release/my-app/node_modules/
+cp -r src/ui/ release/my-app/src/ui/
+cp -r models/ release/my-app/models/
+
+# 3. 下载 Electron 并放入
+# https://npmmirror.com/mirrors/electron/
+
+# 4. 压缩
+cd release/
+zip -r impress-asr-input-win-x64.zip my-app/
+```
+
+## 运行应用
+
+解压后运行：
+```
+Impress ASR Input.exe
+```
+
+或命令行模式：
+```
+node dist/main.js start
+```
diff --git a/docs/DEVELOPMENT.md b/docs/DEVELOPMENT.md
new file mode 100644
index 0000000..24aacac
--- /dev/null
+++ b/docs/DEVELOPMENT.md
@@ -0,0 +1,225 @@
+# 开发指南
+
+## 项目结构
+
+```
+impress-asr-input/
+├── src/
+│   ├── core/                    # 核心模块
+│   │   ├── audio-recorder.ts    # 音频采集
+│   │   ├── audio-processor.ts   # 音频处理（VAD、重采样等）
+│   │   ├── speech-recognizer.ts # ONNX 语音识别引擎
+│   │   ├── text-output.ts       # 文本输出
+│   │   └── index.ts             # 模块导出
+│   ├── ui/                      # Electron UI
+│   │   └── index.html           # 主界面
+│   ├── electron-main.ts         # Electron 主进程
+│   ├── preload.ts               # Electron 预加载脚本
+│   ├── main.ts                  # CLI 入口
+│   └── utils/
+│       └── config.ts            # 配置管理
+├── models/                      # ONNX 模型文件（需自行下载）
+├── scripts/
+│   └── postinstall.js           # 安装后脚本
+├── test/
+│   └── audio-processor.test.ts  # 单元测试
+├── package.json
+├── tsconfig.json
+└── PRD.md
+```
+
+## 开发环境设置
+
+### 前置要求
+
+- Node.js >= 20.0.0
+- npm >= 9.0.0
+
+### 安装步骤
+
+```bash
+# 安装依赖
+npm install
+
+# 下载模型文件（见下文）
+
+# 开发模式运行
+npm run dev
+
+# 开发模式运行 Electron
+npm run dev:electron
+```
+
+## 模型下载
+
+### 推荐模型
+
+#### 1. SenseVoice（推荐）
+
+```bash
+# HuggingFace 下载
+# https://huggingface.co/FunAudioLLM/SenseVoice/tree/main
+
+# 或使用 ModelScope
+# https://www.modelscope.cn/models/iic/SenseVoiceSmall
+```
+
+将 `model.onnx` 放入 `models/` 目录。
+
+#### 2. Whisper ONNX
+
+```bash
+# HuggingFace
+# https://huggingface.co/onnx-community/whisper-base
+
+# 直接下载
+huggingface-cli download onnx-community/whisper-base --local-dir models/
+```
+
+#### 3. Paraformer（中文优化）
+
+```bash
+# ModelScope
+# https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punct
+```
+
+### 模型配置
+
+在 `src/main.ts` 或设置界面中指定模型路径：
+
+```typescript
+const recognizer = new SpeechRecognizer({
+  modelPath: './models/model.onnx',
+  language: 'zh',
+  useVad: true,
+  beamSize: 5,
+});
+```
+
+## 开发命令
+
+```bash
+# 编译 TypeScript
+npm run build
+
+# 运行 CLI
+npm start -- start
+
+# 运行测试
+npm test
+
+# 代码检查
+npm run lint
+
+# 构建 Electron 应用
+npm run build:electron
+```
+
+## 核心模块说明
+
+### AudioRecorder（音频采集）
+
+负责从麦克风采集音频数据。
+
+```typescript
+const recorder = new AudioRecorder({
+  sampleRate: 16000,
+  channels: 1,
+  chunkDuration: 100,
+});
+
+recorder.on('data', (chunk: AudioChunk) => {
+  // 处理音频数据
+});
+
+await recorder.start();
+```
+
+**注意**: 当前实现基于 Web Audio API，在纯 Node.js 环境中需要使用其他方案（如 `node-audio` 或 Electron 的音频 API）。
+
+### SpeechRecognizer（语音识别）
+
+基于 ONNX Runtime 的语音识别引擎。
+
+```typescript
+const recognizer = new SpeechRecognizer({
+  modelPath: './models/model.onnx',
+  language: 'zh',
+  useVad: true,
+});
+
+recognizer.on('result', (result: RecognitionResult) => {
+  console.log(result.text);
+});
+
+await recognizer.initialize();
+recognizer.start();
+```
+
+### TextOutput（文本输出）
+
+将识别结果输出到剪贴板。
+
+```typescript
+const output = new TextOutput({
+  outputMode: 'clipboard',
+});
+
+output.output({ text: '你好', isFinal: true, confidence: 0.95, timestamp: Date.now() });
+```
+
+### SimpleVAD（语音端点检测）
+
+简单的能量检测 VAD 实现。
+
+```typescript
+const vad = new SimpleVAD({
+  energyThreshold: 0.01,
+  silenceDuration: 500,
+});
+
+const { isSpeaking, isFinal } = vad.process(audioFrame, 16000);
+```
+
+## 添加新模型支持
+
+1. 在 `models/` 目录创建模型配置文件：
+
+```typescript
+// src/core/models/sensevoice.ts
+export const senseVoiceConfig = {
+  inputShape: [1, 16000],
+  outputKeys: ['output', 'logits'],
+  // ...
+};
+```
+
+2. 在 `SpeechRecognizer` 中添加模型适配逻辑。
+
+## 常见问题
+
+### Q: 如何调试音频采集？
+
+```typescript
+recorder.on('data', (chunk) => {
+  console.log('音频数据:', chunk.data.length, '采样率:', chunk.sampleRate);
+});
+```
+
+### Q: 识别延迟高？
+
+1. 使用量化模型（int8）
+2. 减少 `chunkDuration`
+3. 启用 `useVad` 减少无效识别
+
+### Q: Electron 打包失败？
+
+检查 `package.json` 中的 `build` 配置，确保模型文件被包含。
+
+## 贡献指南
+
+1. Fork 项目
+2. 创建特性分支 (`git checkout -b feature/AmazingFeature`)
+3. 提交更改 (`git commit -m 'Add some AmazingFeature'`)
+4. 推送到分支 (`git push origin feature/AmazingFeature`)
+5. 开启 Pull Request
diff --git a/models/README.md b/models/README.md
new file mode 100644
index 0000000..f8970c2
--- /dev/null
+++ b/models/README.md
@@ -0,0 +1,59 @@
+# 模型文件说明
+
+## 支持的模型
+
+本项目支持以下 ONNX 语音识别模型：
+
+### 1. SenseVoice（推荐）
+
+- **来源**: 阿里达摩院 FunAudioLLM
+- **支持语言**: 中文、英文、日语、韩语
+- **采样率**: 16000 Hz
+- **特点**: 高精度、低延迟、支持多语言混合识别
+
+**下载地址**:
+- HuggingFace: https://huggingface.co/FunAudioLLM/SenseVoice
+- ModelScope: https://www.modelscope.cn/models/iic/SenseVoiceSmall
+
+### 2. Whisper ONNX
+
+- **来源**: OpenAI
+- **支持语言**: 90+ 种语言
+- **采样率**: 16000 Hz
+- **特点**: 多语言支持最好，准确度高
+
+**下载地址**:
+- HuggingFace: https://huggingface.co/onnx-community/whisper-base
+
+### 3. Paraformer
+
+- **来源**: 阿里达摩院
+- **支持语言**: 中文
+- **采样率**: 16000 Hz
+- **特点**: 中文识别优化，速度快
+
+**下载地址**:
+- ModelScope: https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punct
+
+## 安装模型
+
+1. 从上述地址下载 ONNX 模型文件
+2. 将模型文件放入 `models/` 目录
+3. 模型文件命名：
+   - SenseVoice: `sensevoice.onnx`
+   - Whisper: `whisper.onnx`
+   - Paraformer: `paraformer.onnx`
+
+## 模型优先级
+
+当有多个模型文件时，系统按以下优先级加载：
+
+1. sensevoice.onnx（最高优先级）
+2. whisper.onnx
+3. paraformer.onnx（最低优先级）
+
+## 注意事项
+
+- 模型文件较大（50MB - 300MB），建议单独下载
+- 模型文件不会被包含在 Git 仓库中
+- 首次运行时需要确保模型文件已就位
diff --git a/models/models.config.json b/models/models.config.json
new file mode 100644
index 0000000..e309709
--- /dev/null
+++ b/models/models.config.json
@@ -0,0 +1,30 @@
+{
+  "models": [
+    {
+      "name": "SenseVoice",
+      "file": "sensevoice.onnx",
+      "languages": ["zh", "en", "ja", "ko"],
+      "sampleRate": 16000,
+      "description": "阿里达摩院多语言语音识别模型（推荐）",
+      "downloadUrl": "https://huggingface.co/FunAudioLLM/SenseVoice"
+    },
+    {
+      "name": "Whisper",
+      "file": "whisper.onnx",
+      "languages": ["zh", "en", "ja", "ko", "de", "fr", "es"],
+      "sampleRate": 16000,
+      "description": "OpenAI 多语言语音识别模型",
+      "downloadUrl": "https://huggingface.co/onnx-community/whisper-base"
+    },
+    {
+      "name": "Paraformer",
+      "file": "paraformer.onnx",
+      "languages": ["zh"],
+      "sampleRate": 16000,
+      "description": "阿里达摩院中文语音识别模型",
+      "downloadUrl": "https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punct"
+    }
+  ],
+  "defaultModel": "sensevoice.onnx",
+  "modelsDirectory": "./models"
+}
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000..22d480b
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,6114 @@
+{
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+      "integrity": "sha512-KVgf4XQVrTjhyWmx6cte4RxonPLR9onExufI1jhvw/MQ4BB6IsZD5gT8Lq+u/+pRkWna/6JoHpiQioaqFP5Rzw==",
+      "dev": true,
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "glob": "^7.2.3",
+        "graceful-fs": "^4.2.0",
+        "lazystream": "^1.0.0",
+        "lodash.defaults": "^4.2.0",
+        "lodash.difference": "^4.5.0",
+        "lodash.flatten": "^4.4.0",
+        "lodash.isplainobject": "^4.0.6",
+        "lodash.union": "^4.6.0",
+        "normalize-path": "^3.0.0",
+        "readable-stream": "^3.6.0"
+      },
+      "engines": {
+        "node": ">= 10"
+      }
+    }
+  }
+}
diff --git a/package.json b/package.json
new file mode 100644
index 0000000..0ad9414
--- /dev/null
+++ b/package.json
@@ -0,0 +1,75 @@
+{
+  "name": "impress-asr-input",
+  "version": "0.1.0",
+  "description": "基于 ONNX 的本地语音识别输入工具，支持多语言实时识别",
+  "main": "dist/main.js",
+  "type": "module",
+  "scripts": {
+    "dev": "tsx watch src/main.ts",
+    "build": "tsc",
+    "start": "node dist/main.js",
+    "dev:electron": "electron .",
+    "build:electron": "tsc && electron-builder",
+    "build:win": "cross-env ELECTRON_MIRROR=https://npmmirror.com/mirrors/electron/ npm run build:electron -- --win --x64",
+    "build:win:zip": "cross-env ELECTRON_MIRROR=https://npmmirror.com/mirrors/electron/ tsc && electron-builder --win zip --x64 --publish=never",
+    "build:win:dir": "cross-env ELECTRON_MIRROR=https://npmmirror.com/mirrors/electron/ tsc && electron-builder --win --x64 --dir --publish=never",
+    "test": "vitest run",
+    "lint": "eslint src --ext .ts"
+  },
+  "keywords": [
+    "asr",
+    "speech-to-text",
+    "onnx",
+    "voice-input",
+    "electron"
+  ],
+  "author": "",
+  "license": "MIT",
+  "devDependencies": {
+    "@types/node": "^20.11.0",
+    "cross-env": "^7.0.3",
+    "electron": "^28.0.0",
+    "electron-builder": "^24.9.0",
+    "typescript": "^5.3.0",
+    "vitest": "^1.2.0"
+  },
+  "dependencies": {
+    "clipboardy": "^4.0.0",
+    "commander": "^12.0.0",
+    "onnxruntime-web": "^1.17.0"
+  },
+  "build": {
+    "appId": "com.impress.asr-input",
+    "productName": "Impress ASR Input",
+    "buildVersion": "1.0.0",
+    "publish": null,
+    "directories": {
+      "output": "release",
+      "buildResources": "build"
+    },
+    "files": [
+      "dist/**/*",
+      "src/ui/**/*",
+      "models/**/*"
+    ],
+    "extraResources": [
+      "models/*.onnx"
+    ],
+    "win": {
+      "target": "zip",
+      "requestedExecutionLevel": "asInvoker",
+      "artifactName": "${productName}-${version}-win-${arch}.${ext}"
+    },
+    "mac": {
+      "target": ["dmg", "zip"],
+      "category": "public.app-category.utilities"
+    },
+    "linux": {
+      "target": ["AppImage", "deb"],
+      "category": "Utility"
+    }
+  },
+  "engines": {
+    "node": ">=20.0.0"
+  }
+}
diff --git a/scripts/postinstall.js b/scripts/postinstall.js
new file mode 100644
index 0000000..ef2aa4b
--- /dev/null
+++ b/scripts/postinstall.js
@@ -0,0 +1,17 @@
+/**
+ * 后安装脚本
+ * 用于提示用户下载模型文件
+ */
+
+import { writeFileSync } from 'fs';
+import { join } from 'path';
+
+const modelsDir = join(process.cwd(), 'models');
+
+console.log('\n=== Impress ASR Input 安装完成 ===\n');
+console.log('模型文件需要单独下载，支持的模型：');
+console.log('  - SenseVoice: https://github.com/FunAudioLLM/SenseVoice');
+console.log('  - Whisper ONNX: https://huggingface.co/onnx-community/whisper-base');
+console.log('  - Paraformer: https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punct');
+console.log('\n请将下载的 .onnx 模型文件放置于:', modelsDir);
+console.log('\n');
diff --git a/scripts/prepare-build.js b/scripts/prepare-build.js
new file mode 100644
index 0000000..db4ccb7
--- /dev/null
+++ b/scripts/prepare-build.js
@@ -0,0 +1,77 @@
+/**
+ * 构建脚本：准备 Windows 打包
+ */
+
+import { mkdirSync, existsSync, writeFileSync } from 'fs';
+import { join } from 'path';
+
+const rootDir = process.cwd();
+const buildDir = join(rootDir, 'build');
+const modelsDir = join(rootDir, 'models');
+
+console.log('🔧 准备 Windows 打包...\n');
+
+// 创建 build 目录
+if (!existsSync(buildDir)) {
+  mkdirSync(buildDir, { recursive: true });
+  console.log('✅ 创建 build 目录');
+}
+
+// 创建占位图标文件（实际使用时应替换为真实图标）
+const icoPath = join(buildDir, 'icon.ico');
+if (!existsSync(icoPath)) {
+  // 创建一个简单的占位文件
+  writeFileSync(icoPath, '');
+  console.log('⚠️  图标文件不存在，已创建占位文件');
+  console.log('   请替换为真实的 icon.ico 文件 (256x256 推荐)');
+}
+
+// 检查模型文件
+const modelFiles = ['sensevoice.onnx', 'whisper.onnx', 'paraformer.onnx'];
+const foundModels = [];
+const missingModels = [];
+
+for (const model of modelFiles) {
+  const modelPath = join(modelsDir, model);
+  if (existsSync(modelPath)) {
+    foundModels.push(model);
+  } else {
+    missingModels.push(model);
+  }
+}
+
+console.log('📦 模型文件检查:');
+if (foundModels.length > 0) {
+  console.log(`   ✅ 找到：${foundModels.join(', ')}`);
+}
+if (missingModels.length > 0) {
+  console.log(`   ⚠️  缺失：${missingModels.join(', ')}`);
+  console.log('   模型文件将被打包，但需要用户自行下载');
+}
+
+// 创建 Windows 安装包说明
+const readmePath = join(buildDir, 'BUILD_README.txt');
+writeFileSync(readmePath, `Impress ASR Input - Windows 打包说明
+=====================================
+
+构建命令:
+  npm run build:win        - 创建 NSIS 安装程序和 ZIP 包
+  npm run build:win:dir    - 仅创建未打包的文件目录
+
+输出位置:
+  release/Impress ASR Input-0.1.0-win-x64-setup.exe  (安装程序)
+  release/Impress ASR Input-0.1.0-win-x64.zip        (压缩包)
+
+模型文件:
+  请将下载的 ONNX 模型放入 models/ 目录
+  支持的模型：sensevoice.onnx, whisper.onnx, paraformer.onnx
+
+图标文件:
+  请将 icon.ico (256x256) 放入 build/ 目录
+`);
+
+console.log('\n✅ 打包准备完成');
+console.log('\n下一步:');
+console.log('  1. 将模型文件放入 models/ 目录 (可选)');
+console.log('  2. 将 icon.ico 放入 build/ 目录 (可选)');
+console.log('  3. 运行：npm run build:win');
diff --git a/src/core/audio-processor.ts b/src/core/audio-processor.ts
new file mode 100644
index 0000000..3b74195
--- /dev/null
+++ b/src/core/audio-processor.ts
@@ -0,0 +1,154 @@
+/**
+ * 音频处理器
+ * 对音频数据进行预处理，包括重采样、归一化等
+ */
+
+/**
+ * 音频数据归一化
+ * 将 Int16Array 或 Float32Array 归一化到 [-1, 1]
+ */
+export function normalizeAudio(
+  data: Int16Array | Float32Array,
+  inputSampleRate: number,
+  outputSampleRate: number = 16000
+): Float32Array {
+  // 转换为 Float32Array 并归一化
+  let normalized: Float32Array;
+
+  if (data instanceof Int16Array) {
+    normalized = new Float32Array(data.length);
+    for (let i = 0; i < data.length; i++) {
+      normalized[i] = data[i] / 32768.0;
+    }
+  } else {
+    normalized = data;
+  }
+
+  // 重采样
+  if (inputSampleRate !== outputSampleRate) {
+    return resample(normalized, inputSampleRate, outputSampleRate);
+  }
+
+  return normalized;
+}
+
+/**
+ * 重采样
+ * 使用线性插值进行重采样
+ */
+export function resample(
+  data: Float32Array,
+  fromSampleRate: number,
+  toSampleRate: number
+): Float32Array {
+  if (fromSampleRate === toSampleRate) {
+    return data;
+  }
+
+  const ratio = fromSampleRate / toSampleRate;
+  const newLength = Math.floor(data.length / ratio);
+  const result = new Float32Array(newLength);
+
+  for (let i = 0; i < newLength; i++) {
+    const position = i * ratio;
+    const index = Math.floor(position);
+    const fraction = position - index;
+
+    if (index + 1 < data.length) {
+      result[i] = data[index] * (1 - fraction) + data[index + 1] * fraction;
+    } else {
+      result[i] = data[index];
+    }
+  }
+
+  return result;
+}
+
+/**
+ * 语音端点检测 (VAD)
+ * 简单的能量检测实现
+ */
+export class SimpleVAD {
+  private energyThreshold: number;
+  private silenceDuration: number;
+  private silenceStart: number | null = null;
+  private isSpeaking: boolean = false;
+
+  constructor(options: { energyThreshold?: number; silenceDuration?: number } = {}) {
+    this.energyThreshold = options.energyThreshold ?? 0.01;
+    this.silenceDuration = options.silenceDuration ?? 500; // ms
+  }
+
+  /**
+   * 处理音频帧，返回是否检测到语音
+   */
+  process(frame: Float32Array, _sampleRate: number): { isSpeaking: boolean; isFinal: boolean } {
+    // 计算能量
+    const energy = this.calculateEnergy(frame);
+
+    if (energy > this.energyThreshold) {
+      this.isSpeaking = true;
+      this.silenceStart = null;
+      return { isSpeaking: true, isFinal: false };
+    } else if (this.isSpeaking) {
+      // 检测静音
+      if (this.silenceStart === null) {
+        this.silenceStart = Date.now();
+      }
+
+      const silenceElapsed = Date.now() - this.silenceStart;
+
+      if (silenceElapsed >= this.silenceDuration) {
+        // 语音结束
+        this.isSpeaking = false;
+        this.silenceStart = null;
+        return { isSpeaking: false, isFinal: true };
+      }
+
+      return { isSpeaking: true, isFinal: false };
+    }
+
+    return { isSpeaking: false, isFinal: false };
+  }
+
+  /**
+   * 计算音频能量
+   */
+  private calculateEnergy(frame: Float32Array): number {
+    let sum = 0;
+    for (let i = 0; i < frame.length; i++) {
+      sum += frame[i] * frame[i];
+    }
+    return Math.sqrt(sum / frame.length);
+  }
+
+  /**
+   * 重置状态
+   */
+  reset(): void {
+    this.isSpeaking = false;
+    this.silenceStart = null;
+  }
+}
+
+/**
+ * 分帧处理
+ * 将连续音频分割成固定长度的帧
+ */
+export function frameAudio(
+  data: Float32Array,
+  frameSize: number,
+  hopSize: number
+): Float32Array[] {
+  const frames: Float32Array[] = [];
+
+  for (let i = 0; i <= data.length - frameSize; i += hopSize) {
+    const frame = new Float32Array(frameSize);
+    for (let j = 0; j < frameSize; j++) {
+      frame[j] = data[i + j];
+    }
+    frames.push(frame);
+  }
+
+  return frames;
+}
diff --git a/src/core/audio-recorder.ts b/src/core/audio-recorder.ts
new file mode 100644
index 0000000..67dc064
--- /dev/null
+++ b/src/core/audio-recorder.ts
@@ -0,0 +1,173 @@
+/**
+ * 音频采集模块
+ * 负责从麦克风采集音频数据并进行预处理
+ *
+ * 注意：当前实现为框架演示，实际音频采集需要：
+ * - Electron: 使用 navigator.mediaDevices (在渲染进程中)
+ * - Node.js: 使用 node-audio 或类似库
+ */
+
+import { EventEmitter } from 'events';
+
+export interface AudioConfig {
+  sampleRate: number;      // 采样率，默认 16000
+  channels: number;        // 声道数，默认 1（单声道）
+  chunkDuration: number;   // 分块时长 (ms)，默认 100
+  deviceId?: string;       // 音频设备 ID（可选）
+}
+
+export interface AudioChunk {
+  data: Float32Array;      // 音频数据（归一化到 [-1, 1]）
+  sampleRate: number;
+  timestamp: number;
+}
+
+export class AudioRecorder extends EventEmitter {
+  private config: AudioConfig;
+  private isRecording: boolean = false;
+  private stream: any = null;
+  private audioContext: any = null;
+  private source: any = null;
+  private processor: any = null;
+
+  constructor(config: Partial<AudioConfig> = {}) {
+    super();
+    this.config = {
+      sampleRate: config.sampleRate ?? 16000,
+      channels: config.channels ?? 1,
+      chunkDuration: config.chunkDuration ?? 100,
+      deviceId: config.deviceId,
+    };
+  }
+
+  /**
+   * 开始录音
+   */
+  async start(): Promise<void> {
+    if (this.isRecording) {
+      throw new Error('Already recording');
+    }
+
+    // 检查是否在浏览器/Electron 渲染进程中
+    if (typeof window !== 'undefined' && window.navigator?.mediaDevices) {
+      await this.startInBrowser();
+    } else {
+      // Node.js 环境 - 需要外部音频输入
+      this.startInNode();
+    }
+  }
+
+  /**
+   * 浏览器环境录音
+   */
+  private async startInBrowser(): Promise<void> {
+    try {
+      const constraints = {
+        audio: {
+          sampleRate: this.config.sampleRate,
+          channelCount: this.config.channels,
+          deviceId: this.config.deviceId ? { exact: this.config.deviceId } : undefined,
+        },
+      };
+
+      this.stream = await window.navigator.mediaDevices.getUserMedia(constraints);
+      const AudioContextClass = window.AudioContext || (window as any).webkitAudioContext;
+      this.audioContext = new AudioContextClass({ sampleRate: this.config.sampleRate });
+      this.source = this.audioContext.createMediaStreamSource(this.stream);
+
+      const bufferSize = Math.floor(this.config.sampleRate * (this.config.chunkDuration / 1000));
+      this.processor = this.audioContext.createScriptProcessor(bufferSize, 1, 1);
+
+      this.processor.onaudioprocess = (event: any) => {
+        const inputData = event.inputBuffer.getChannelData(0);
+        const chunk: AudioChunk = {
+          data: new Float32Array(inputData),
+          sampleRate: this.config.sampleRate,
+          timestamp: Date.now(),
+        };
+        this.emit('data', chunk);
+      };
+
+      this.source.connect(this.processor);
+      this.processor.connect(this.audioContext.destination);
+
+      this.isRecording = true;
+      this.emit('start');
+    } catch (error) {
+      this.emit('error', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Node.js 环境录音（演示模式）
+   * 实际使用需要 node-audio 等库
+   */
+  private startInNode(): void {
+    console.warn('Node.js 环境音频采集需要 electron 或 node-audio 库');
+    console.warn('当前运行在演示模式，不会采集音频');
+    this.isRecording = true;
+    this.emit('start');
+    // 演示：定期发送静音数据
+    const demoInterval = setInterval(() => {
+      if (!this.isRecording) {
+        clearInterval(demoInterval);
+        return;
+      }
+      const demoData = new Float32Array(this.config.sampleRate * (this.config.chunkDuration / 1000));
+      this.emit('data', {
+        data: demoData,
+        sampleRate: this.config.sampleRate,
+        timestamp: Date.now(),
+      });
+    }, this.config.chunkDuration);
+  }
+
+  /**
+   * 停止录音
+   */
+  stop(): void {
+    if (!this.isRecording) {
+      return;
+    }
+
+    if (this.processor) {
+      this.processor.disconnect();
+      this.processor = null;
+    }
+    if (this.source) {
+      this.source.disconnect();
+      this.source = null;
+    }
+    if (this.stream) {
+      const tracks = this.stream.getTracks?.() || this.stream.tracks || [];
+      tracks.forEach((track: any) => track.stop?.());
+      this.stream = null;
+    }
+    if (this.audioContext) {
+      this.audioContext.close?.();
+      this.audioContext = null;
+    }
+
+    this.isRecording = false;
+    this.emit('stop');
+  }
+
+  /**
+   * 获取可用音频设备列表（仅浏览器环境）
+   */
+  static async listDevices(): Promise<any[]> {
+    if (typeof window !== 'undefined' && window.navigator?.mediaDevices) {
+      const devices = await window.navigator.mediaDevices.enumerateDevices();
+      return devices.filter((device: any) => device.kind === 'audioinput');
+    }
+    return [];
+  }
+
+  /**
+   * 判断是否正在录音
+   */
+  get recording(): boolean {
+    return this.isRecording;
+  }
+}
diff --git a/src/core/index.ts b/src/core/index.ts
new file mode 100644
index 0000000..a0a4827
--- /dev/null
+++ b/src/core/index.ts
@@ -0,0 +1,9 @@
+/**
+ * Core 模块索引文件
+ */
+
+export { AudioRecorder, type AudioConfig, type AudioChunk } from './audio-recorder.js';
+export { SpeechRecognizer, type RecognizerConfig, type RecognitionResult } from './speech-recognizer.js';
+export { TextOutput, type TextOutputConfig } from './text-output.js';
+export { normalizeAudio, resample, SimpleVAD, frameAudio } from './audio-processor.js';
+export { ModelLoader, type ModelConfig, MODEL_CONFIGS } from './model-loader.js';
diff --git a/src/core/model-loader.ts b/src/core/model-loader.ts
new file mode 100644
index 0000000..616151e
--- /dev/null
+++ b/src/core/model-loader.ts
@@ -0,0 +1,183 @@
+/**
+ * 模型加载器
+ * 负责加载和管理 ONNX 模型
+ */
+
+import { existsSync } from 'fs';
+import { join } from 'path';
+import * as ort from 'onnxruntime-web';
+
+export interface ModelConfig {
+  name: string;
+  path: string;
+  language: string[];
+  sampleRate: number;
+  inputShape: number[];
+  description: string;
+}
+
+// 预定义模型配置
+export const MODEL_CONFIGS: Record<string, ModelConfig> = {
+  sensevoice: {
+    name: 'SenseVoice',
+    path: './models/sensevoice.onnx',
+    language: ['zh', 'en', 'ja', 'ko'],
+    sampleRate: 16000,
+    inputShape: [1, 16000],
+    description: '阿里达摩院多语言语音识别模型',
+  },
+  whisper: {
+    name: 'Whisper',
+    path: './models/whisper.onnx',
+    language: ['zh', 'en', 'ja', 'ko', 'de', 'fr', 'es'],
+    sampleRate: 16000,
+    inputShape: [1, 480000], // 30 秒音频
+    description: 'OpenAI 多语言语音识别模型',
+  },
+  paraformer: {
+    name: 'Paraformer',
+    path: './models/paraformer.onnx',
+    language: ['zh'],
+    sampleRate: 16000,
+    inputShape: [1, 16000],
+    description: '阿里达摩院中文语音识别模型',
+  },
+};
+
+export class ModelLoader {
+  private session: ort.InferenceSession | null = null;
+  private config: ModelConfig | null = null;
+
+  /**
+   * 获取可用的模型列表
+   */
+  static getAvailableModels(): ModelConfig[] {
+    return Object.values(MODEL_CONFIGS).filter((config) =>
+      existsSync(config.path)
+    );
+  }
+
+  /**
+   * 检查模型文件是否存在
+   */
+  static checkModelExists(modelName: string): boolean {
+    const config = MODEL_CONFIGS[modelName];
+    if (!config) return false;
+    return existsSync(config.path);
+  }
+
+  /**
+   * 从目录加载模型
+   */
+  static async loadFromDir(
+    modelsDir: string
+  ): Promise<{ session: ort.InferenceSession; config: ModelConfig } | null> {
+    // 按优先级查找模型
+    const modelOrder = ['sensevoice.onnx', 'whisper.onnx', 'paraformer.onnx'];
+
+    for (const modelName of modelOrder) {
+      const modelPath = join(modelsDir, modelName);
+      if (existsSync(modelPath)) {
+        try {
+          const session = await ort.InferenceSession.create(modelPath);
+          const config = Object.values(MODEL_CONFIGS).find((c) =>
+            c.path.endsWith(modelName)
+          ) || {
+            name: modelName.replace('.onnx', ''),
+            path: modelPath,
+            language: ['zh'],
+            sampleRate: 16000,
+            inputShape: [1, 16000],
+            description: '自定义模型',
+          };
+          return { session, config };
+        } catch (error) {
+          console.warn(`加载模型 ${modelName} 失败:`, error);
+        }
+      }
+    }
+
+    return null;
+  }
+
+  /**
+   * 加载指定模型
+   */
+  async load(modelNameOrPath: string): Promise<void> {
+    let modelPath: string;
+    let modelConfig: ModelConfig | undefined;
+
+    // 检查是否为预定义模型名称
+    if (MODEL_CONFIGS[modelNameOrPath]) {
+      modelConfig = MODEL_CONFIGS[modelNameOrPath];
+      modelPath = modelConfig.path;
+    } else {
+      // 直接使用路径
+      modelPath = modelNameOrPath;
+      modelConfig = {
+        name: 'custom',
+        path: modelPath,
+        language: ['zh'],
+        sampleRate: 16000,
+        inputShape: [1, 16000],
+        description: '自定义模型路径',
+      };
+    }
+
+    if (!existsSync(modelPath)) {
+      throw new Error(`模型文件不存在：${modelPath}`);
+    }
+
+    try {
+      const sessionOptions: ort.InferenceSession.SessionOptions = {
+        executionProviders: ['cpu'],
+        graphOptimizationLevel: 'all',
+        intraOpNumThreads: 4,
+      };
+
+      this.session = await ort.InferenceSession.create(modelPath, sessionOptions);
+      this.config = modelConfig;
+
+      console.log(`✅ 模型加载成功：${modelConfig.name}`);
+      console.log(`   支持语言：${modelConfig.language.join(', ')}`);
+      console.log(`   采样率：${modelConfig.sampleRate}Hz`);
+    } catch (error) {
+      throw new Error(`模型加载失败：${error}`);
+    }
+  }
+
+  /**
+   * 获取当前加载的模型配置
+   */
+  getConfig(): ModelConfig | null {
+    return this.config;
+  }
+
+  /**
+   * 获取推理会话
+   */
+  getSession(): ort.InferenceSession | null {
+    return this.session;
+  }
+
+  /**
+   * 运行推理
+   */
+  async run(feeds: Record<string, ort.Tensor>): Promise<Record<string, ort.Tensor>> {
+    if (!this.session) {
+      throw new Error('模型未加载');
+    }
+    return await this.session.run(feeds);
+  }
+
+  /**
+   * 释放模型资源
+   */
+  async release(): Promise<void> {
+    if (this.session) {
+      await this.session.release();
+      this.session = null;
+      this.config = null;
+    }
+  }
+}
diff --git a/src/core/speech-recognizer.ts b/src/core/speech-recognizer.ts
new file mode 100644
index 0000000..2c31835
--- /dev/null
+++ b/src/core/speech-recognizer.ts
@@ -0,0 +1,201 @@
+/**
+ * 语音识别引擎
+ * 基于 ONNX Runtime 进行语音识别推理
+ */
+
+import * as ort from 'onnxruntime-web';
+import { EventEmitter } from 'events';
+import { AudioChunk } from './audio-recorder.js';
+import { ModelLoader } from './model-loader.js';
+
+export interface RecognizerConfig {
+  modelPath: string;       // 模型文件路径
+  language: string;        // 识别语言：'zh', 'en', 'ja', 'ko' 等
+  useVad: boolean;         // 是否使用语音端点检测
+  beamSize: number;        // 束搜索宽度
+}
+
+export interface RecognitionResult {
+  text: string;            // 识别文本
+  confidence: number;      // 置信度
+  isFinal: boolean;        // 是否为最终结果
+  timestamp: number;       // 时间戳
+}
+
+export class SpeechRecognizer extends EventEmitter {
+  private config: RecognizerConfig;
+  private modelLoader: ModelLoader;
+  private isRecognizing: boolean = false;
+  private audioBuffer: Float32Array = new Float32Array(0);
+  private readonly MAX_BUFFER_SECONDS = 30;
+
+  constructor(config: RecognizerConfig) {
+    super();
+    this.config = config;
+    this.modelLoader = new ModelLoader();
+  }
+
+  /**
+   * 初始化识别引擎（加载模型）
+   */
+  async initialize(): Promise<void> {
+    try {
+      await this.modelLoader.load(this.config.modelPath);
+      this.emit('ready');
+    } catch (error) {
+      this.emit('error', new Error(`Failed to load model: ${error}`));
+      throw error;
+    }
+  }
+
+  /**
+   * 处理音频数据
+   */
+  async processAudio(chunk: AudioChunk): Promise<void> {
+    if (!this.isRecognizing) {
+      return;
+    }
+
+    // 将音频数据添加到缓冲区
+    const newBuffer = new Float32Array(this.audioBuffer.length + chunk.data.length);
+    newBuffer.set(this.audioBuffer);
+    newBuffer.set(chunk.data, this.audioBuffer.length);
+    this.audioBuffer = newBuffer;
+
+    // 检查缓冲区是否超过最大长度
+    const maxSamples = this.config.useVad
+      ? chunk.sampleRate * this.MAX_BUFFER_SECONDS
+      : chunk.sampleRate * 5;
+
+    if (this.audioBuffer.length > maxSamples) {
+      const keepStart = Math.floor(this.audioBuffer.length / 2);
+      this.audioBuffer = this.audioBuffer.slice(keepStart);
+    }
+
+    // 进行识别
+    await this.recognize(chunk.sampleRate);
+  }
+
+  /**
+   * 执行识别
+   */
+  private async recognize(sampleRate: number): Promise<void> {
+    const modelConfig = this.modelLoader.getConfig();
+    if (!modelConfig || this.audioBuffer.length === 0) {
+      return;
+    }
+
+    try {
+      // 重采样到模型要求的采样率
+      let audioData = this.audioBuffer;
+      if (sampleRate !== modelConfig.sampleRate) {
+        const ratio = sampleRate / modelConfig.sampleRate;
+        const newLength = Math.floor(this.audioBuffer.length / ratio);
+        audioData = new Float32Array(newLength);
+        for (let i = 0; i < newLength; i++) {
+          const pos = Math.floor(i * ratio);
+          audioData[i] = this.audioBuffer[pos] || 0;
+        }
+      }
+
+      // 填充或截断到模型输入大小
+      const inputSize = modelConfig.inputShape[1];
+      const inputData = new Float32Array(inputSize);
+      const copyLength = Math.min(audioData.length, inputSize);
+      inputData.set(audioData.slice(0, copyLength));
+
+      const inputTensor = new ort.Tensor('float32', inputData, [1, inputSize]);
+
+      const feeds: Record<string, ort.Tensor> = {
+        input: inputTensor,
+      };
+
+      const results = await this.modelLoader.run(feeds);
+
+      // 解码结果
+      const text = this.decodeOutput(results, modelConfig);
+
+      if (text) {
+        const result: RecognitionResult = {
+          text,
+          confidence: 0.95,
+          isFinal: true,
+          timestamp: Date.now(),
+        };
+        this.emit('result', result);
+      }
+
+      // 清空缓冲区
+      this.audioBuffer = new Float32Array(0);
+    } catch (error) {
+      this.emit('error', new Error(`Recognition failed: ${error}`));
+    }
+  }
+
+  /**
+   * 解码模型输出
+   */
+  private decodeOutput(results: Record<string, ort.Tensor>, _modelConfig: any): string {
+    // 尝试不同的输出键名
+    const outputKeys = ['output', 'logits', 'output_ids', 'token_ids'];
+    let output: ort.Tensor | undefined;
+
+    for (const key of outputKeys) {
+      if (results[key]) {
+        output = results[key];
+        break;
+      }
+    }
+
+    if (!output) {
+      // 返回第一个可用的输出
+      const firstKey = Object.keys(results)[0];
+      if (firstKey) {
+        output = results[firstKey];
+      }
+    }
+
+    if (!output || !output.data) {
+      return '';
+    }
+
+    // 简化处理：实际应根据具体模型使用 tokenizer 解码
+    // 这里返回一个占位字符串
+    const tokens = Array.from(output.data as Float32Array | Int32Array);
+    return `[识别结果：${tokens.length} tokens]`;
+  }
+
+  /**
+   * 开始识别
+   */
+  start(): void {
+    this.isRecognizing = true;
+    this.emit('start');
+  }
+
+  /**
+   * 停止识别
+   */
+  stop(): void {
+    this.isRecognizing = false;
+    if (this.audioBuffer.length > 0) {
+      this.recognize(16000);
+    }
+    this.emit('stop');
+  }
+
+  /**
+   * 卸载模型释放资源
+   */
+  async release(): Promise<void> {
+    this.stop();
+    await this.modelLoader.release();
+  }
+
+  /**
+   * 判断是否正在识别
+   */
+  get recognizing(): boolean {
+    return this.isRecognizing;
+  }
+}
diff --git a/src/core/text-output.ts b/src/core/text-output.ts
new file mode 100644
index 0000000..7ffd4ab
--- /dev/null
+++ b/src/core/text-output.ts
@@ -0,0 +1,121 @@
+/**
+ * 文本输出模块
+ * 负责将识别结果输出到剪贴板或模拟键盘输入
+ */
+
+import { EventEmitter } from 'events';
+import { RecognitionResult } from './speech-recognizer.js';
+
+export interface TextOutputConfig {
+  outputMode: 'clipboard' | 'keyboard' | 'both';  // 输出模式
+  autoPaste: boolean;                              // 是否自动粘贴
+  delayMs: number;                                 // 延迟时间 (ms)
+}
+
+export class TextOutput extends EventEmitter {
+  private config: TextOutputConfig;
+  private lastText: string = '';
+
+  constructor(config: Partial<TextOutputConfig> = {}) {
+    super();
+    this.config = {
+      outputMode: config.outputMode ?? 'clipboard',
+      autoPaste: config.autoPaste ?? true,
+      delayMs: config.delayMs ?? 50,
+    };
+  }
+
+  /**
+   * 输出识别结果
+   */
+  async output(result: RecognitionResult): Promise<void> {
+    if (!result.isFinal || !result.text) {
+      return;
+    }
+
+    this.lastText = result.text;
+
+    try {
+      switch (this.config.outputMode) {
+        case 'clipboard':
+          await this.copyToClipboard(result.text);
+          break;
+        case 'keyboard':
+        case 'both':
+          // keyboard 模式在 Electron 中通过主进程实现
+          // 在纯 Node.js 环境中回退到剪贴板
+          await this.copyToClipboard(result.text);
+          if (this.config.outputMode === 'both') {
+            console.log('提示：文本已复制到剪贴板，请手动粘贴');
+          }
+          break;
+      }
+
+      this.emit('output', result.text);
+    } catch (error) {
+      this.emit('error', error);
+    }
+  }
+
+  /**
+   * 复制到剪贴板
+   */
+  private async copyToClipboard(text: string): Promise<void> {
+    // 尝试使用 clipboardy
+    try {
+      const clipboardy = await import('clipboardy');
+      await clipboardy.default.write(text);
+      this.emit('clipboard', text);
+      return;
+    } catch (e) {
+      // clipboardy 不可用，尝试其他方法
+    }
+
+    // Electron 环境
+    const globalObj = typeof globalThis !== 'undefined' ? globalThis : typeof window !== 'undefined' ? window : {};
+    if ((globalObj as any).navigator?.clipboard) {
+      await (globalObj as any).navigator.clipboard.writeText(text);
+      this.emit('clipboard', text);
+      return;
+    }
+
+    // 使用系统命令
+    const platform = process.platform;
+    const { exec } = await import('child_process');
+
+    return new Promise((resolve, reject) => {
+      let cmd: string;
+      if (platform === 'win32') {
+        cmd = `echo ${text} | clip`;
+      } else if (platform === 'darwin') {
+        cmd = `echo "${text}" | pbcopy`;
+      } else {
+        // Linux - 尝试多种工具
+        cmd = `echo "${text}" | xclip -selection clipboard 2>/dev/null || echo "${text}" | xsel --clipboard 2>/dev/null || echo "clipboardy failed"`;
+      }
+
+      exec(cmd, (error) => {
+        if (error) reject(error);
+        else {
+          this.emit('clipboard', text);
+          resolve();
+        }
+      });
+    });
+  }
+
+  /**
+   * 获取最后输出的文本
+   */
+  getLastText(): string {
+    return this.lastText;
+  }
+
+  /**
+   * 清空历史记录
+   */
+  clear(): void {
+    this.lastText = '';
+    this.emit('clear');
+  }
+}
diff --git a/src/electron-main.ts b/src/electron-main.ts
new file mode 100644
index 0000000..b461c8b
--- /dev/null
+++ b/src/electron-main.ts
@@ -0,0 +1,105 @@
+/**
+ * Impress ASR Input - Electron 主进程
+ * 注意：此文件需要 electron 依赖，运行前请执行：npm install electron --save-dev
+ */
+
+import { app, BrowserWindow, ipcMain, globalShortcut, clipboard } from 'electron';
+import { join } from 'path';
+import { fileURLToPath } from 'url';
+
+const __dirname = fileURLToPath(new URL('.', import.meta.url));
+
+let mainWindow: BrowserWindow | null = null;
+
+function createWindow() {
+  mainWindow = new BrowserWindow({
+    width: 400,
+    height: 600,
+    title: 'Impress ASR Input',
+    webPreferences: {
+      preload: join(__dirname, 'preload.js'),
+      contextIsolation: true,
+      nodeIntegration: false,
+    },
+    resizable: false,
+    skipTaskbar: false,
+    alwaysOnTop: false,
+  });
+
+  // 加载主界面
+  if (process.env.NODE_ENV === 'development') {
+    mainWindow.loadURL('http://localhost:5173');
+  } else {
+    mainWindow.loadFile(join(__dirname, '../ui/index.html'));
+  }
+
+  mainWindow.on('closed', () => {
+    mainWindow = null;
+  });
+}
+
+// 应用就绪时创建窗口
+app.whenReady().then(() => {
+  createWindow();
+
+  // 注册全局热键
+  globalShortcut.register('CommandOrControl+Shift+Space', () => {
+    mainWindow?.webContents.send('toggle-recording');
+  });
+
+  globalShortcut.register('CommandOrControl+Escape', () => {
+    mainWindow?.webContents.send('stop-recording');
+  });
+});
+
+// IPC 处理
+ipcMain.handle('start-recording', async () => {
+  // 启动录音
+  console.log('开始录音');
+  return { success: true };
+});
+
+ipcMain.handle('stop-recording', async () => {
+  // 停止录音
+  console.log('停止录音');
+  return { success: true };
+});
+
+ipcMain.handle('copy-to-clipboard', async (_, text: string) => {
+  clipboard.writeText(text);
+  return { success: true };
+});
+
+ipcMain.handle('get-settings', async () => {
+  // 获取设置
+  return {
+    language: 'zh',
+    outputMode: 'clipboard',
+    modelPath: './models/model.onnx',
+  };
+});
+
+ipcMain.handle('save-settings', async (_event: any, settings: Record<string, unknown>) => {
+  // 保存设置
+  console.log('保存设置:', settings);
+  return { success: true };
+});
+
+// 所有窗口关闭时退出应用
+app.on('window-all-closed', () => {
+  globalShortcut.unregisterAll();
+  if (process.platform !== 'darwin') {
+    app.quit();
+  }
+});
+
+app.on('activate', () => {
+  if (BrowserWindow.getAllWindows().length === 0) {
+    createWindow();
+  }
+});
+
+// 应用退出前清理
+app.on('will-quit', () => {
+  globalShortcut.unregisterAll();
+});
diff --git a/src/main.ts b/src/main.ts
new file mode 100644
index 0000000..a1ac3f6
--- /dev/null
+++ b/src/main.ts
@@ -0,0 +1,110 @@
+/**
+ * Impress ASR Input - 主入口
+ * 命令行模式入口文件
+ */
+
+import { Command } from 'commander';
+import { SpeechRecognizer, RecognitionResult } from './core/speech-recognizer.js';
+import { TextOutput } from './core/text-output.js';
+import { readFileSync } from 'fs';
+import { fileURLToPath } from 'url';
+import { dirname, join } from 'path';
+
+const __dirname = dirname(fileURLToPath(import.meta.url));
+const packageJson = JSON.parse(
+  readFileSync(join(__dirname, '../package.json'), 'utf-8')
+);
+
+const program = new Command();
+
+program
+  .name('impress-asr-input')
+  .description('基于 ONNX 的本地语音识别输入工具')
+  .version(packageJson.version);
+
+program
+  .command('start')
+  .description('开始语音识别')
+  .option('-l, --language <lang>', '识别语言', 'zh')
+  .option('-m, --model <path>', '模型文件路径', join(__dirname, '../models/model.onnx'))
+  .option('-o, --output <mode>', '输出模式：clipboard|keyboard|both', 'clipboard')
+  .action(async (options) => {
+    console.log('🎤 启动语音识别...');
+    console.log(`   语言：${options.language}`);
+    console.log(`   模型：${options.model}`);
+    console.log(`   输出：${options.output}`);
+
+    const recognizer = new SpeechRecognizer({
+      modelPath: options.model,
+      language: options.language,
+      useVad: true,
+      beamSize: 5,
+    });
+
+    const textOutput = new TextOutput({
+      outputMode: options.output as 'clipboard' | 'keyboard' | 'both',
+      autoPaste: true,
+      delayMs: 50,
+    });
+
+    // 绑定事件
+    recognizer.on('ready', () => {
+      console.log('✅ 模型加载完成，开始识别...');
+      recognizer.start();
+    });
+
+    recognizer.on('result', (result: RecognitionResult) => {
+      console.log(`📝 ${result.text}`);
+      textOutput.output(result);
+    });
+
+    recognizer.on('error', (error: Error) => {
+      console.error('❌ 识别错误:', error.message);
+      process.exit(1);
+    });
+
+    // 初始化并开始
+    try {
+      await recognizer.initialize();
+      // 注意：音频采集在纯 Node.js 环境需要额外处理
+      // 这里仅作为框架演示
+      console.log('⚠️  当前为演示模式，完整功能需要 Electron 环境');
+    } catch (error) {
+      console.error('❌ 启动失败:', error);
+      process.exit(1);
+    }
+
+    // 优雅退出
+    process.on('SIGINT', async () => {
+      console.log('\n🛑 停止识别...');
+      recognizer.stop();
+      await recognizer.release();
+      process.exit(0);
+    });
+  });
+
+program
+  .command('transcribe')
+  .description('转写音频文件')
+  .argument('<file>', '音频文件路径')
+  .option('-l, --language <lang>', '识别语言', 'zh')
+  .option('-m, --model <path>', '模型文件路径')
+  .option('-o, --output <file>', '输出文件路径')
+  .action(async (file, options) => {
+    console.log(`🎵 转写文件：${file}`);
+    console.log(`   语言：${options.language}`);
+
+    // TODO: 实现文件转写功能
+    console.log('⚠️  文件转写功能开发中...');
+  });
+
+program
+  .command('list-devices')
+  .description('列出可用音频设备')
+  .action(() => {
+    console.log('🎧 可用音频设备:');
+    // TODO: 实现设备列表功能
+    console.log('⚠️  设备列表功能开发中...');
+  });
+
+program.parse();
diff --git a/src/preload.ts b/src/preload.ts
new file mode 100644
index 0000000..cbd257a
--- /dev/null
+++ b/src/preload.ts
@@ -0,0 +1,29 @@
+/**
+ * Electron 预加载脚本
+ * 注意：此文件需要 electron 依赖
+ */
+
+import { contextBridge, ipcRenderer } from 'electron';
+
+// 暴露给渲染进程的 API
+contextBridge.exposeInMainWorld('electronAPI', {
+  // 录音控制
+  startRecording: () => ipcRenderer.invoke('start-recording'),
+  stopRecording: () => ipcRenderer.invoke('stop-recording'),
+
+  // 剪贴板
+  copyToClipboard: (text: string) => ipcRenderer.invoke('copy-to-clipboard', text),
+
+  // 设置
+  getSettings: () => ipcRenderer.invoke('get-settings'),
+  saveSettings: (settings: Record<string, unknown>) =>
+    ipcRenderer.invoke('save-settings', settings),
+
+  // 事件监听
+  onToggleRecording: (callback: () => void) => {
+    ipcRenderer.on('toggle-recording', () => callback());
+  },
+  onStopRecording: (callback: () => void) => {
+    ipcRenderer.on('stop-recording', () => callback());
+  },
+});
diff --git a/src/ui/index.html b/src/ui/index.html
new file mode 100644
index 0000000..7c99f12
--- /dev/null
+++ b/src/ui/index.html
@@ -0,0 +1,315 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <meta http-equiv="Content-Security-Policy" content="default-src 'self'; script-src 'self' 'unsafe-inline'; style-src 'self' 'unsafe-inline'">
+  <title>Impress ASR Input</title>
+  <style>
+    :root {
+      --bg-primary: #1a1a2e;
+      --bg-secondary: #16213e;
+      --accent: #e94560;
+      --accent-hover: #ff6b6b;
+      --text-primary: #ffffff;
+      --text-secondary: #a0a0a0;
+      --success: #00d9a5;
+      --border: #2d3748;
+    }
+
+    * {
+      margin: 0;
+      padding: 0;
+      box-sizing: border-box;
+    }
+
+    body {
+      font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+      background: var(--bg-primary);
+      color: var(--text-primary);
+      min-height: 100vh;
+      display: flex;
+      flex-direction: column;
+    }
+
+    .header {
+      padding: 20px;
+      text-align: center;
+      border-bottom: 1px solid var(--border);
+    }
+
+    .header h1 {
+      font-size: 18px;
+      font-weight: 600;
+    }
+
+    .header p {
+      font-size: 12px;
+      color: var(--text-secondary);
+      margin-top: 4px;
+    }
+
+    .main-content {
+      flex: 1;
+      padding: 20px;
+      display: flex;
+      flex-direction: column;
+      gap: 20px;
+    }
+
+    .status-card {
+      background: var(--bg-secondary);
+      border-radius: 12px;
+      padding: 20px;
+      text-align: center;
+    }
+
+    .status-indicator {
+      width: 80px;
+      height: 80px;
+      border-radius: 50%;
+      background: var(--border);
+      margin: 0 auto 12px;
+      display: flex;
+      align-items: center;
+      justify-content: center;
+      font-size: 32px;
+      transition: all 0.3s ease;
+    }
+
+    .status-indicator.recording {
+      background: var(--accent);
+      animation: pulse 1.5s infinite;
+    }
+
+    @keyframes pulse {
+      0%, 100% { transform: scale(1); opacity: 1; }
+      50% { transform: scale(1.1); opacity: 0.8; }
+    }
+
+    .status-text {
+      font-size: 14px;
+      color: var(--text-secondary);
+    }
+
+    .record-btn {
+      width: 100%;
+      padding: 16px;
+      border: none;
+      border-radius: 12px;
+      background: var(--accent);
+      color: white;
+      font-size: 16px;
+      font-weight: 600;
+      cursor: pointer;
+      transition: all 0.2s ease;
+    }
+
+    .record-btn:hover {
+      background: var(--accent-hover);
+    }
+
+    .record-btn:active {
+      transform: scale(0.98);
+    }
+
+    .record-btn.recording {
+      background: var(--border);
+    }
+
+    .result-area {
+      flex: 1;
+      background: var(--bg-secondary);
+      border-radius: 12px;
+      padding: 16px;
+      min-height: 150px;
+    }
+
+    .result-area h3 {
+      font-size: 14px;
+      margin-bottom: 12px;
+      color: var(--text-secondary);
+    }
+
+    .result-text {
+      font-size: 14px;
+      line-height: 1.6;
+      white-space: pre-wrap;
+      word-break: break-word;
+    }
+
+    .result-text:empty::before {
+      content: '识别结果将显示在这里...';
+      color: var(--text-secondary);
+      font-style: italic;
+    }
+
+    .settings-section {
+      background: var(--bg-secondary);
+      border-radius: 12px;
+      padding: 16px;
+    }
+
+    .setting-item {
+      display: flex;
+      justify-content: space-between;
+      align-items: center;
+      padding: 8px 0;
+      border-bottom: 1px solid var(--border);
+    }
+
+    .setting-item:last-child {
+      border-bottom: none;
+    }
+
+    .setting-item label {
+      font-size: 14px;
+    }
+
+    .setting-item select {
+      background: var(--bg-primary);
+      border: 1px solid var(--border);
+      border-radius: 6px;
+      padding: 6px 12px;
+      color: var(--text-primary);
+      font-size: 13px;
+      cursor: pointer;
+    }
+
+    .hotkey-hint {
+      font-size: 12px;
+      color: var(--text-secondary);
+      text-align: center;
+      padding: 12px;
+      background: var(--bg-secondary);
+      border-radius: 8px;
+    }
+
+    .hotkey-hint kbd {
+      background: var(--bg-primary);
+      padding: 2px 8px;
+      border-radius: 4px;
+      border: 1px solid var(--border);
+      font-family: monospace;
+    }
+  </style>
+</head>
+<body>
+  <div class="header">
+    <h1>🎤 Impress ASR Input</h1>
+    <p>语音识别输入工具</p>
+  </div>
+
+  <div class="main-content">
+    <div class="status-card">
+      <div class="status-indicator" id="statusIndicator">🎤</div>
+      <div class="status-text" id="statusText">点击按钮开始录音</div>
+    </div>
+
+    <button class="record-btn" id="recordBtn">开始录音</button>
+
+    <div class="result-area">
+      <h3>识别结果</h3>
+      <div class="result-text" id="resultText"></div>
+    </div>
+
+    <div class="settings-section">
+      <div class="setting-item">
+        <label>识别语言</label>
+        <select id="languageSelect">
+          <option value="zh">中文</option>
+          <option value="en">English</option>
+          <option value="ja">日本語</option>
+          <option value="ko">한국어</option>
+        </select>
+      </div>
+      <div class="setting-item">
+        <label>输出模式</label>
+        <select id="outputModeSelect">
+          <option value="clipboard">剪贴板</option>
+          <option value="both">剪贴板 + 提示</option>
+        </select>
+      </div>
+    </div>
+
+    <div class="hotkey-hint">
+      <p>快捷键：<kbd>Ctrl+Shift+Space</kbd> 开始/停止录音</p>
+      <p style="margin-top: 6px;"><kbd>Ctrl+Escape</kbd> 强制停止</p>
+    </div>
+  </div>
+
+  <script>
+    const recordBtn = document.getElementById('recordBtn');
+    const statusIndicator = document.getElementById('statusIndicator');
+    const statusText = document.getElementById('statusText');
+    const resultText = document.getElementById('resultText');
+    const languageSelect = document.getElementById('languageSelect');
+    const outputModeSelect = document.getElementById('outputModeSelect');
+
+    let isRecording = false;
+
+    // 更新 UI 状态
+    function updateUI() {
+      if (isRecording) {
+        recordBtn.textContent = '停止录音';
+        recordBtn.classList.add('recording');
+        statusIndicator.classList.add('recording');
+        statusText.textContent = '正在录音中...';
+      } else {
+        recordBtn.textContent = '开始录音';
+        recordBtn.classList.remove('recording');
+        statusIndicator.classList.remove('recording');
+        statusText.textContent = '点击按钮开始录音';
+      }
+    }
+
+    // 点击录音按钮
+    recordBtn.addEventListener('click', async () => {
+      isRecording = !isRecording;
+      updateUI();
+
+      if (isRecording) {
+        await window.electronAPI?.startRecording();
+      } else {
+        await window.electronAPI?.stopRecording();
+      }
+    });
+
+    // 监听全局热键
+    window.electronAPI?.onToggleRecording(() => {
+      isRecording = !isRecording;
+      updateUI();
+    });
+
+    window.electronAPI?.onStopRecording(() => {
+      isRecording = false;
+      updateUI();
+    });
+
+    // 模拟识别结果（开发用）
+    function simulateResult(text) {
+      resultText.textContent = text;
+      if (text) {
+        window.electronAPI?.copyToClipboard(text);
+      }
+    }
+
+    // 设置保存
+    languageSelect.addEventListener('change', () => {
+      window.electronAPI?.saveSettings({ language: languageSelect.value });
+    });
+
+    outputModeSelect.addEventListener('change', () => {
+      window.electronAPI?.saveSettings({ outputMode: outputModeSelect.value });
+    });
+
+    // 加载设置
+    window.electronAPI?.getSettings().then(settings => {
+      if (settings) {
+        languageSelect.value = settings.language || 'zh';
+        outputModeSelect.value = settings.outputMode || 'clipboard';
+      }
+    });
+  </script>
+</body>
+</html>
diff --git a/src/utils/config.ts b/src/utils/config.ts
new file mode 100644
index 0000000..ed1f0c6
--- /dev/null
+++ b/src/utils/config.ts
@@ -0,0 +1,103 @@
+/**
+ * 配置管理模块
+ */
+
+import { readFileSync, writeFileSync, existsSync } from 'fs';
+
+export interface AppSettings {
+  // 识别设置
+  language: string;
+  modelPath: string;
+  useVad: boolean;
+
+  // 输出设置
+  outputMode: 'clipboard' | 'keyboard' | 'both';
+  autoPaste: boolean;
+
+  // 热键设置
+  startHotkey: string;
+  stopHotkey: string;
+
+  // 音频设置
+  audioDeviceId?: string;
+  sampleRate: number;
+}
+
+export const defaultSettings: AppSettings = {
+  language: 'zh',
+  modelPath: './models/model.onnx',
+  useVad: true,
+  outputMode: 'clipboard',
+  autoPaste: true,
+  startHotkey: 'CommandOrControl+Shift+Space',
+  stopHotkey: 'CommandOrControl+Escape',
+  sampleRate: 16000,
+};
+
+/**
+ * 配置存储类
+ * 在 Electron 环境中使用 electron-store
+ * 在纯 Node.js 环境中使用 JSON 文件
+ */
+export class ConfigStore {
+  private settings: AppSettings;
+  private filePath: string;
+
+  constructor(filePath: string) {
+    this.filePath = filePath;
+    this.settings = { ...defaultSettings };
+    this.load();
+  }
+
+  /**
+   * 加载配置
+   */
+  load(): void {
+    try {
+      if (existsSync(this.filePath)) {
+        const content = readFileSync(this.filePath, 'utf-8');
+        const saved = JSON.parse(content);
+        this.settings = { ...this.settings, ...saved };
+      }
+    } catch {
+      // 文件不存在或解析失败，使用默认设置
+    }
+  }
+
+  /**
+   * 保存配置
+   */
+  save(): void {
+    writeFileSync(this.filePath, JSON.stringify(this.settings, null, 2));
+  }
+
+  /**
+   * 获取配置项
+   */
+  get<K extends keyof AppSettings>(key: K): AppSettings[K] {
+    return this.settings[key];
+  }
+
+  /**
+   * 设置配置项
+   */
+  set<K extends keyof AppSettings>(key: K, value: AppSettings[K]): void {
+    this.settings[key] = value;
+    this.save();
+  }
+
+  /**
+   * 获取所有配置
+   */
+  getAll(): AppSettings {
+    return { ...this.settings };
+  }
+
+  /**
+   * 重置为默认值
+   */
+  reset(): void {
+    this.settings = { ...defaultSettings };
+    this.save();
+  }
+}
diff --git a/test/audio-processor.test.ts b/test/audio-processor.test.ts
new file mode 100644
index 0000000..032ddd9
--- /dev/null
+++ b/test/audio-processor.test.ts
@@ -0,0 +1,90 @@
+/**
+ * 音频处理器测试
+ */
+
+import { describe, it, expect } from 'vitest';
+import { normalizeAudio, resample, SimpleVAD, frameAudio } from '../src/core/audio-processor.js';
+
+describe('audio-processor', () => {
+  describe('normalizeAudio', () => {
+    it('应该归一化 Int16Array 数据', () => {
+      const input = new Int16Array([32767, -32768, 0, 16384]);
+      const result = normalizeAudio(input, 16000);
+
+      expect(result).toBeInstanceOf(Float32Array);
+      expect(result.length).toBe(input.length);
+      expect(result[0]).toBeCloseTo(1, 3);
+      expect(result[1]).toBeCloseTo(-1, 3);
+      expect(result[2]).toBe(0);
+    });
+
+    it('应该处理 Float32Array 输入', () => {
+      const input = new Float32Array([1, -1, 0, 0.5]);
+      const result = normalizeAudio(input, 16000);
+
+      expect(result).toBe(input);
+    });
+  });
+
+  describe('resample', () => {
+    it('应该保持相同采样率的数据不变', () => {
+      const input = new Float32Array([1, 2, 3, 4]);
+      const result = resample(input, 16000, 16000);
+
+      expect(result).toBe(input);
+    });
+
+    it('应该降低采样率', () => {
+      const input = new Float32Array([1, 2, 3, 4, 5, 6, 7, 8]);
+      const result = resample(input, 16000, 8000);
+
+      expect(result.length).toBe(4);
+    });
+  });
+
+  describe('SimpleVAD', () => {
+    it('应该检测到高能量音频', () => {
+      const vad = new SimpleVAD({ energyThreshold: 0.01 });
+      const loudFrame = new Float32Array([0.5, 0.6, 0.7, 0.8]);
+
+      const result = vad.process(loudFrame, 16000);
+
+      expect(result.isSpeaking).toBe(true);
+    });
+
+    it('应该忽略低能量音频', () => {
+      const vad = new SimpleVAD({ energyThreshold: 0.01 });
+      const quietFrame = new Float32Array([0.001, 0.002, 0.001, 0]);
+
+      const result = vad.process(quietFrame, 16000);
+
+      expect(result.isSpeaking).toBe(false);
+    });
+
+    it('应该重置状态', () => {
+      const vad = new SimpleVAD();
+      vad.process(new Float32Array([0.5, 0.6, 0.7]), 16000);
+      vad.reset();
+
+      expect(vad.process(new Float32Array([0]), 16000).isSpeaking).toBe(false);
+    });
+  });
+
+  describe('frameAudio', () => {
+    it('应该正确分帧', () => {
+      const input = new Float32Array([1, 2, 3, 4, 5, 6, 7, 8]);
+      const frames = frameAudio(input, 4, 2);
+
+      expect(frames.length).toBe(4);
+      expect(frames[0]).toEqual(new Float32Array([1, 2, 3, 4]));
+      expect(frames[1]).toEqual(new Float32Array([3, 4, 5, 6]));
+    });
+
+    it('应该处理不足一帧的数据', () => {
+      const input = new Float32Array([1, 2, 3]);
+      const frames = frameAudio(input, 4, 2);
+
+      expect(frames.length).toBe(0);
+    });
+  });
+});
diff --git a/tsconfig.json b/tsconfig.json
new file mode 100644
index 0000000..aca2703
--- /dev/null
+++ b/tsconfig.json
@@ -0,0 +1,25 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "lib": ["ES2022", "DOM"],
+    "outDir": "./dist",
+    "rootDir": "./src",
+    "strict": false,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true,
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true,
+    "noUnusedLocals": false,
+    "noUnusedParameters": false,
+    "noImplicitReturns": false,
+    "noFallthroughCasesInSwitch": false,
+    "allowSyntheticDefaultImports": true
+  },
+  "include": ["src/**/*.ts"],
+  "exclude": ["node_modules", "dist", "test", "src/electron-main.ts", "src/preload.ts"]
+}
diff --git a/vitest.config.ts b/vitest.config.ts
new file mode 100644
index 0000000..bbc488e
--- /dev/null
+++ b/vitest.config.ts
@@ -0,0 +1,11 @@
+import { defineConfig } from 'vitest/config';
+
+export default defineConfig({
+  test: {
+    include: ['test/**/*.test.ts'],
+    exclude: ['node_modules', 'dist'],
+  },
+  resolve: {
+    extensions: ['.ts', '.js'],
+  },
+});