# đŸŽ™ī¸ W H I S P E R   V O I C E ### SOVEREIGN SPEECH RECOGNITION
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> *"The master's tools will never dismantle the master's house."* >
> **Build your own tools. Run them locally. Free your mind.** [View Source](https://git.lashman.live/lashman/whisper_voice) â€ĸ [Report Issue](https://git.lashman.live/lashman/whisper_voice/issues)


## 📡 The Transmission We are witnessing the **enshittification** of the digital world. What were once vibrant social commons are being walled off, strip-mined for data, and degraded into rent-seeking silos. Your voice is no longer your own; it is a training set for a corporate oracle that charges you for the privilege of listening. **Whisper Voice** is a small act of sabotage against this trend. It is built on the axiom of **Technological Sovereignty**. By moving state-of-the-art inference from the server farms to your own silicon, you reclaim the means of digital production. No telemetry. No subscriptions. No "cloud processing" that eavesdrops on your intent. --- ## ⚡ The Engine Whisper Voice operates directly on the metal. It is not an API wrapper; it is an autonomous machine. | Component | Technology | Benefit | | :--- | :--- | :--- | | **Inference Core** | **Faster-Whisper** | Hyper-optimized C++ implementation via **CTranslate2**. Delivers **4x velocity** over standard PyTorch. | | **Compression** | **INT8 quantization** | Enables Pro-grade models (`Large-v3`) to run on consumer-grade GPUs, democratizing elite AI. | | **Sensory Gate** | **Silero VAD** | Enterprise-grade Voice Activity Detection filters out the noise, ensuring only pure intent is processed. | | **Interface** | **Qt 6 / QML** | Hardware-accelerated, glassmorphic UI that is fluid, responsive, and sovereign. | ### 🛑 Compatibility Matrix (Windows) The core engine (`CTranslate2`) is heavily optimized for Nvidia tensor cores. | Manufacturer | Hardware | Status | Notes | | :--- | :--- | :--- | :--- | | **Nvidia** | GTX 900+ / RTX | ✅ **Supported** | Full heavy-metal acceleration. | | **AMD** | Radeon RX | âš ī¸ **CPU Fallback** | Runs on CPU. Valid for `Small/Medium`, slow for `Large`. | | **Intel** | Arc / Iris | âš ī¸ **CPU Fallback** | Runs on CPU. Valid for `Small/Medium`, slow for `Large`. | | **Apple** | M1 / M2 / M3 | ❌ **Unsupported** | Release is strictly Windows x64. | > **AMD Users**: v1.0.3 auto-detects GPU failures and silently falls back to CPU.
## đŸ–‹ī¸ Universal Transcription At its core, Whisper Voice is the ultimate bridge between thought and text. It listens with superhuman precision, converting spoken word into written form across **99 languages**. * **Punctuation Mastery**: Automatically handles capitalization and complex punctuation formatting. * **Contextual Intelligence**: Smarter than standard dictation; it understands the flow of sentences to resolve homophones and technical jargon ($1.5k vs "fifteen hundred dollars"). * **Total Privacy**: Your private dictation, legal notes, or creative writing never leave your RAM. ### Workflow: `F9 (Default)` The primary channel for native-language transcription. It transcribes precisely what it hears in the language you speak (or the one you've locked in Settings). ### ✨ Style Prompting (New in v1.0.2) Whisper Voice replaces traditional "grammar correction models" with a native **Style Prompting** engine. By injecting a specific "pre-prompt" into the model's context window, we can guide its internal style without external post-processing. * **Standard (Default)**: Forces the model to use full sentences, proper capitalization, and periods. Ideal for dictation. * **Casual**: Encourages a relaxed, lowercase style (e.g., "no way that's crazy lol"). * **Custom**: Allows you to seed the model with your own context (e.g., "Here is a list of medical terms:"). This approach incurs **zero latency penalty** and **zero extra VRAM** usage.
## 🌎 Universal Translation Whisper Voice v1.0.1 includes a **Neural Translation Engine** that allows you to bridge any linguistic gap instantly. * **Input**: Speak in French, Japanese, Russian, or **96 other languages**. * **Output**: The engine instantly reconstructs the semantic meaning into fluent **English**. * **Task Protocol**: Handled via the dedicated `F10` channel. ### 🔍 Why only English translation? A common question arises: *Why can't I translate from French to Japanese?* The architecture of the underlying Whisper model is a **Many-to-English** design. During its massive training phase (680,000 hours of audio), the translation task was specifically optimized to map the global linguistic commons onto a single bridge language: **English**. This allowed the model to reach incredible levels of semantic understanding without the exponential complexity of a "Many-to-Many" mapping. By focusing its translation decoder solely on English, Whisper achieves "Zero-Shot" quality that rivals specialized translation engines while remaining lightweight enough to run on your local GPU. --- ## đŸ•šī¸ Command & Control ### Global Hotkeys The agent runs silently in the background, waiting for your signal. * **Transcribe (F9)**: Opens the channel for standard speech-to-text. * **Translate (F10)**: Opens the channel for neural translation. * **Customization**: Remap these keys in Settings. The recorder supports complex chords (e.g. `Ctrl + Alt + Space`) to fit your workflow. ### Injection Protocols * **Clipboard Paste**: Standard text injection. Instant, reliable. * **Simulate Typing**: Mimics physical keystrokes at superhuman speed (6000 CPM). Bypasses anti-paste restrictions and "protected" windows.
## 📊 Intelligence Matrix Select the model that aligns with your available resources. | Model | VRAM (GPU) | RAM (CPU) | Designation | Capability | | :--- | :--- | :--- | :--- | :--- | | `Tiny` | **~500 MB** | ~1 GB | ⚡ **Supersonic** | Command & Control, older hardware. | | `Base` | **~600 MB** | ~1 GB | 🚀 **Very Fast** | Daily driver for low-power laptops. | | `Small` | **~1 GB** | ~2 GB | ⏊ **Fast** | High accuracy English dictation. | | `Medium` | **~2 GB** | ~4 GB | âš–ī¸ **Balanced** | Complex vocabulary, foreign accents. | | `Large-v3 Turbo` | **~4 GB** | ~6 GB | ✨ **Optimal** | **The Sweet Spot.** Near-Large intelligence, Medium speed. | | `Large-v3` | **~5 GB** | ~8 GB | 🧠 **Maximum** | Professional grade. Uncompromised. | > *Note: Acceleration requires you to manually select your Compute Device (CUDA GPU or CPU) in Settings.* ### 📉 Low VRAM Mode For users with limited GPU memory (e.g., 4GB cards) or those running heavy games simultaneously, Whisper Voice offers a specialized **Low VRAM Mode**. * **Behavior**: The AI model is aggressively unloaded from the GPU immediately after every transcription. * **Benefit**: When idle, the app consumes near-zero VRAM (~0MB), leaving your GPU completely free for gaming or rendering. * **Trade-off**: There is a "cold start" latency of 1-2 seconds for every voice command as the model reloads from the disk cache. --- ## đŸ› ī¸ Deployment ### đŸ“Ĩ Installation 1. **Acquire**: Download `WhisperVoice.exe` from [Releases](https://git.lashman.live/lashman/whisper_voice/releases). 2. **Deploy**: Place it anywhere. It is portable. 3. **Bootstrap**: Run it. The agent will self-provision an isolated Python runtime (~2GB) on first launch. 4. **Sync**: Future updates are handled by the **Smart Bootstrapper**, which surgically updates only changed files, respecting your bandwidth and your settings. ### 🔧 Troubleshooting * **App crashes on start**: Ensure you have [Microsoft Visual C++ Redistributable 2015-2022](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist) installed. * **"Simulate Typing" is slow**: Some applications (remote desktops, legacy games) cannot handle the data stream. Lower the typing speed in Settings to ~1200 CPM. * **No Audio**: The agent listens to the **Default Communication Device**. Verify your Windows Sound Control Panel.
--- ## 🌐 Supported Languages The engine understands the following 99 languages. You can lock the focus to a specific language in Settings to improve accuracy, or rely on **Auto-Detect** for fluid multilingual usage. | | | | | | | | :--- | :--- | :--- | :--- | :--- | :--- | | Afrikaans đŸ‡ŋđŸ‡Ļ | Albanian đŸ‡Ļ🇱 | Amharic đŸ‡Ē🇹 | Arabic 🇸đŸ‡Ļ | Armenian đŸ‡Ļ🇲 | Assamese đŸ‡ŽđŸ‡ŗ | | Azerbaijani đŸ‡ĻđŸ‡ŋ | Bashkir 🇷đŸ‡ē | Basque đŸ‡Ē🇸 | Belarusian 🇧🇾 | Bengali 🇧🇩 | Bosnian 🇧đŸ‡Ļ | | Breton đŸ‡Ģ🇷 | Bulgarian 🇧đŸ‡Ŧ | Burmese 🇲🇲 | Castilian đŸ‡Ē🇸 | Catalan đŸ‡Ē🇸 | Chinese đŸ‡¨đŸ‡ŗ | | Croatian 🇭🇷 | Czech 🇨đŸ‡ŋ | Danish 🇩🇰 | Dutch đŸ‡ŗđŸ‡ą | English đŸ‡ē🇸 | Estonian đŸ‡ĒđŸ‡Ē | | Faroese đŸ‡Ģ🇴 | Finnish đŸ‡Ģ🇮 | Flemish 🇧đŸ‡Ē | French đŸ‡Ģ🇷 | Galician đŸ‡Ē🇸 | Georgian đŸ‡ŦđŸ‡Ē | | German 🇩đŸ‡Ē | Greek đŸ‡Ŧ🇷 | Gujarati đŸ‡ŽđŸ‡ŗ | Haitian 🇭🇹 | Hausa đŸ‡ŗđŸ‡Ŧ | Hawaiian đŸ‡ē🇸 | | Hebrew 🇮🇱 | Hindi đŸ‡ŽđŸ‡ŗ | Hungarian 🇭đŸ‡ē | Icelandic 🇮🇸 | Indonesian 🇮🇩 | Italian 🇮🇹 | | Japanese đŸ‡¯đŸ‡ĩ | Javanese 🇮 Indonesa | Kannada đŸ‡ŽđŸ‡ŗ | Kazakh 🇰đŸ‡ŋ | Khmer 🇰🇭 | Korean 🇰🇷 | | Lao 🇱đŸ‡Ļ | Latin đŸ‡ģđŸ‡Ļ | Latvian 🇱đŸ‡ģ | Lingala 🇨🇩 | Lithuanian 🇱🇹 | Luxembourgish 🇱đŸ‡ē | | Macedonian 🇲🇰 | Malagasy 🇲đŸ‡Ŧ | Malay 🇲🇾 | Malayalam đŸ‡ŽđŸ‡ŗ | Maltese 🇲🇹 | Maori đŸ‡ŗđŸ‡ŋ | | Marathi đŸ‡ŽđŸ‡ŗ | Moldavian 🇲🇩 | Mongolian đŸ‡˛đŸ‡ŗ | Myanmar 🇲🇲 | Nepali đŸ‡ŗđŸ‡ĩ | Norwegian đŸ‡ŗđŸ‡´ | | Occitan đŸ‡Ģ🇷 | Panjabi đŸ‡ŽđŸ‡ŗ | Pashto đŸ‡ĻđŸ‡Ģ | Persian 🇮🇷 | Polish đŸ‡ĩ🇱 | Portuguese đŸ‡ĩ🇹 | | Punjabi đŸ‡ŽđŸ‡ŗ | Romanian 🇷🇴 | Russian 🇷đŸ‡ē | Sanskrit đŸ‡ŽđŸ‡ŗ | Serbian 🇷🇸 | Shona đŸ‡ŋđŸ‡ŧ | | Sindhi đŸ‡ĩ🇰 | Sinhala 🇱🇰 | Slovak 🇸🇰 | Slovenian 🇸🇮 | Somali 🇸🇴 | Spanish đŸ‡Ē🇸 | | Sundanese 🇮🇩 | Swahili 🇰đŸ‡Ē | Swedish 🇸đŸ‡Ē | Tagalog đŸ‡ĩ🇭 | Tajik đŸ‡šđŸ‡¯ | Tamil đŸ‡ŽđŸ‡ŗ | | Tatar 🇷đŸ‡ē | Telugu đŸ‡ŽđŸ‡ŗ | Thai 🇹🇭 | Tibetan đŸ‡¨đŸ‡ŗ | Turkish 🇹🇷 | Turkmen 🇹🇲 | | Ukrainian đŸ‡ēđŸ‡Ļ | Urdu đŸ‡ĩ🇰 | Uzbek đŸ‡ēđŸ‡ŋ | Vietnamese đŸ‡ģe | Welsh đŸ´ķ §ķ ĸķ ˇķ Ŧķ ŗķ ŋ | Yiddish 🇮🇱 | | Yoruba đŸ‡ŗđŸ‡Ŧ | | | | | |

### âš–ī¸ PUBLIC DOMAIN (CC0 1.0) *No Rights Reserved. No Gods. No Masters. No Managers.* Credit to **OpenAI** (Whisper), **Systran** (Faster-Whisper), and **Silero** (VAD).