Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Real-time audio translation, captures system audio + mic, runs ASR (Whisper/SenseVoice), translates via LLM API with streaming display. Perfect for VTubers, livestreamers, and watching foreign content. Windows 实时音频翻译，ASR 语音识别后 LLM 流式翻译显示，适合 VTuber、主播和外语视频观看。
| Date | Stars |
|---|---|
| 2026-07-24 | 452 |
| 2026-07-25 | 455 |
| 2026-07-28 | 455 |
| 2026-07-30 | 455 |
| 2026-07-31 | 461 |
| 2026-08-06 | 461 |
Today
— stars today
This week
+6 stars this week
This month
— stars this month
Momentum
41.0
growth rate 1.32%/day
# LiveTranslate **English** | [中文](README_zh.md) Real-time audio translation for Windows. Captures system audio (WASAPI loopback) and optional microphone input, runs ASR, translates via LLM API, and displays results in a transparent overlay. Works with any system audio — videos, livestreams, voice chat. No player modifications needed.    ## Screenshot  ## Video [](https://www.bilibili.com/video/BV1K2Awz6Euw) ## Features - **Real-time pipeline**: System audio → VAD → ASR → LLM translation → overlay - **Multiple ASR engines**: faster-whisper, SenseVoice, FunASR Nano, Anime-Whisper - **Remote ASR**: offload speech recognition to a GPU machine over HTTP — see [REMOTE_ASR.md](REMOTE_ASR.md) - **Any OpenAI-compatible API**: DeepSeek, Grok, Qwen, GPT, Ollama, vLLM, etc. - **Streaming translation display**: Real-time character-by-character translation output - **Per-model settings**: Streaming, structured output (JSON), context history, disable thinking - **Microphone mix-in**: Optionally mix microphone input with system audio for ASR - **Low-latency VAD**: 32ms chunks + Silero VAD with adaptive silence detection - **Transparent overlay**: Always-on-top, click-through, draggable, 14 color themes - **CUDA acceleration**: GPU-accelerated ASR inference - **Auto model management**: Setup wizard, ModelScope / HuggingFace dual sources - **Built-in benchmark**: Compare translation model speed and quality ## Changelog See [English Changelog](i18n/CHANGELOG_en.md) | [中文更新日志](i18n/CHANGELOG_zh.md) ## Requirements - **OS**: Windows 10/11 - **Python**: 3.10–3.12 (or use the portable build) - **GPU** (recommended): NVIDIA + CUDA 12.6 (Blackwell GPUs like RTX 50xx require CUDA 12.8) - **Network**: Access to a translation API ## Quick Start ### Portable build (no Python required, recommended for non-developers) Download `LiveTranslate-portable-*.zip` from [Releases](https://github.com/TheDeathDragon/LiveTranslate/releases), unzip, and double-click **`start.bat`**. The first run auto-downloads a portable Python 3.12 and installs GPU-aware dependencies — no Python installation needed. ### From source ```bash git clone https://github.com/TheDeathDragon/LiveTranslate.git cd LiveTranslate ``` Double-click **`install.bat`** — the installer will: 1. Detect Python 3.10–3.12 (auto-install via winget if missing) 2. Create a virtual environment 3. Auto-detect NVIDIA GPU and let you choose CUDA / CPU PyTorch 4. Install all dependencies Then double-click **`start.bat`** to launch. To update, double-click **`update.bat`** — it will pull the latest code and update dependencies (auto-installs Git via winget if missing). <details> <summary>Manual install</summary> ```bash python -m venv .venv .venv\Scripts\activate # PyTorch (choose one) pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu126 # CUDA pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu128 # CUDA (RTX 50xx) pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu # CPU only # Dependencies pip install -r requirements.txt pip install funasr --no-deps # Launch .venv\Scripts\python.exe main.py ``` > FunASR uses `--no-deps` because `editdistance` requires a C++ compiler. `editdistance-s` in `requirements.txt` is a pure-Python drop-in replacement. </details> ## First Launch 1. Setup wizard appears — choose download source (ModelScope / HuggingFace) and cache path 2. Silero VAD + SenseVoice models download automatically (~1GB) 3. Main UI appears when ready ## Translation API Settings → Translation tab: | Parameter | Example | |-----------|---------| | API Base | `https://api.deepseek.com/
Excerpt of 6,059 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7b179a72c2528918, topic:speech-recognition, topic:asr, readme:speech recognition