🎙️ W H I S P E R   V O I C E

SOVEREIGN SPEECH RECOGNITION

"The master's tools will never dismantle the master's house."
Build your own tools. Run them locally. Free your mind.

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📡 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.

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⚡ 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	⚠️ CPU Fallback	Runs on CPU. Valid for Small/Medium, slow for Large.
Intel	Arc / Iris	⚠️ 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.

🖋️ 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).

🧠 Intelligent Correction (New in v1.1.0)

Whisper Voice now integrates a local Llama 3.2 1B LLM to act as a "Silent Consultant". It post-processes transcripts to fix grammar or polish style without effectively "chatting" back.

It is strictly trained on a Forensic Protocol: it will never lecture you, never refuse to process explicit language, and never sanitize your words. Your profanity is yours to keep.

Correction Modes:

• Standard (Default): Fixes grammar, punctuation, and capitalization while keeping every word you said.
• Grammar Only: Strictly fixes objective errors (spelling/agreement). Touches nothing else.
• Rewrite: Polishes the flow and clarity of your sentences while explicitly preserving your original tone (Casual stays casual, Formal stays formal).

Supported Languages:

The correction engine is optimized for English, German, French, Italian, Portuguese, Spanish, Hindi, and Thai. It also performs well on Russian, Chinese, Japanese, and Romanian.

This approach incurs a ~2s latency penalty but uses zero extra VRAM when in Low VRAM mode.

🌎 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.

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🕹️ 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	⚖️ 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.

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🛠️ Deployment

📥 Installation

1. Acquire: Download WhisperVoice.exe from 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 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.

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🌐 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 🇿🇦	Albanian 🇦🇱	Amharic 🇪🇹	Arabic 🇸🇦	Armenian 🇦🇲	Assamese 🇮🇳
Azerbaijani 🇦🇿	Bashkir 🇷🇺	Basque 🇪🇸	Belarusian 🇧🇾	Bengali 🇧🇩	Bosnian 🇧🇦
Breton 🇫🇷	Bulgarian 🇧🇬	Burmese 🇲🇲	Castilian 🇪🇸	Catalan 🇪🇸	Chinese 🇨🇳
Croatian 🇭🇷	Czech 🇨🇿	Danish 🇩🇰	Dutch 🇳🇱	English 🇺🇸	Estonian 🇪🇪
Faroese 🇫🇴	Finnish 🇫🇮	Flemish 🇧🇪	French 🇫🇷	Galician 🇪🇸	Georgian 🇬🇪
German 🇩🇪	Greek 🇬🇷	Gujarati 🇮🇳	Haitian 🇭🇹	Hausa 🇳🇬	Hawaiian 🇺🇸
Hebrew 🇮🇱	Hindi 🇮🇳	Hungarian 🇭🇺	Icelandic 🇮🇸	Indonesian 🇮🇩	Italian 🇮🇹
Japanese 🇯🇵	Javanese 🇮 Indonesa	Kannada 🇮🇳	Kazakh 🇰🇿	Khmer 🇰🇭	Korean 🇰🇷
Lao 🇱🇦	Latin 🇻🇦	Latvian 🇱🇻	Lingala 🇨🇩	Lithuanian 🇱🇹	Luxembourgish 🇱🇺
Macedonian 🇲🇰	Malagasy 🇲🇬	Malay 🇲🇾	Malayalam 🇮🇳	Maltese 🇲🇹	Maori 🇳🇿
Marathi 🇮🇳	Moldavian 🇲🇩	Mongolian 🇲🇳	Myanmar 🇲🇲	Nepali 🇳🇵	Norwegian 🇳🇴
Occitan 🇫🇷	Panjabi 🇮🇳	Pashto 🇦🇫	Persian 🇮🇷	Polish 🇵🇱	Portuguese 🇵🇹
Punjabi 🇮🇳	Romanian 🇷🇴	Russian 🇷🇺	Sanskrit 🇮🇳	Serbian 🇷🇸	Shona 🇿🇼
Sindhi 🇵🇰	Sinhala 🇱🇰	Slovak 🇸🇰	Slovenian 🇸🇮	Somali 🇸🇴	Spanish 🇪🇸
Sundanese 🇮🇩	Swahili 🇰🇪	Swedish 🇸🇪	Tagalog 🇵🇭	Tajik 🇹🇯	Tamil 🇮🇳
Tatar 🇷🇺	Telugu 🇮🇳	Thai 🇹🇭	Tibetan 🇨🇳	Turkish 🇹🇷	Turkmen 🇹🇲
Ukrainian 🇺🇦	Urdu 🇵🇰	Uzbek 🇺🇿	Vietnamese 🇻e	Welsh 🏴󠁧󠁢󠁷󠁬󠁳󠁿	Yiddish 🇮🇱
Yoruba 🇳🇬

⚖️ PUBLIC DOMAIN (CC0 1.0)

No Rights Reserved. No Gods. No Masters. No Managers.

Credit to OpenAI (Whisper), Systran (Faster-Whisper), and Silero (VAD).