Ting / 听多多

听我的，拥抱新世界。 Listen to me, embrace a new world.

Ting is a powerful, cross-platform language learning application designed to help users master listening and speaking through AI-powered transcription, shadowing practice, and repetition.

✨ Features

• AI Transcription: Automatic high-accuracy speech-to-text using OpenAI Whisper.
• Shadowing Practice: Real-time evaluation of your pronunciation with AI feedback.
• Audio Management: Import local files or download directly from platforms like YouTube/Bilibili.
• Smart Repetition: Segment audio and repeat specific parts (AB repeat) to internalize the target language.
• Vocabulary & Dictation: Focus on specific segments for intensive dictation training.
• Cross-Platform: Built with Tauri for a lightweight, native experience on Windows, macOS, and Linux.
• Multilingual Support: Interface and translation available in over 10 languages.

🚀 Getting Started

Prerequisites

• Node.js (v18+)
• Rust (v1.75+)
• FFmpeg (Installed in system PATH)
• yt-dlp (Optional, for URL imports)
• WebView2 (for Windows users)

Installation

1. Clone the repository:

   git clone https://github.com/coolqiu/ting.git
   cd ting

2. Install dependencies:

   npm install

3. Run in development mode:

   npm run tauri dev

📱 Android Build

The Android build requires additional prerequisites due to the Whisper AI and ONNX components.

Prerequisites

• Android Studio & SDK (API 21+)
• Android NDK (Version 26.3.11579264 is recommended)
• Java JDK 17+

Building with the Helper Script (Windows)

A dedicated script build-android.bat is provided to automate the complex environment setup.

1. Open build-android.bat and verify the ANDROID_SDK_ROOT and ANDROID_NDK_HOME paths at the top of the file.
2. Run the script:

   .\build-android.bat

3. After compilation, the APK will be located at: src-tauri/gen/android/app/build/outputs/apk/universal/release/app-universal-release-unsigned.apk

Note: Release APKs are unsigned by default. To install them, you must sign them (e.g., using apksigner) or use the --debug flag in the build script for testing.

🛠 Tech Stack

• Frontend: React, Vite, TypeScript, TailwindCSS (optional components).
• Backend: Rust, Tauri 2.0.
• AI Engine: Whisper (Transcription), ONNX (Evaluation).
• Database: SQLite.

📄 License

Distributed under the MIT License. See LICENSE for more information.

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Built with ❤️ for language learners everywhere.