diff --git a/README.md b/README.md index 6a3125f..1ab5223 100644 --- a/README.md +++ b/README.md @@ -24,40 +24,54 @@ ## 📡 The Transmission -We live in an era of enclosure. Our words, our thoughts, and our digital footprints are strip-mined by centralized giants, turned into capital, and sold back to us as "convenience." +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 rejection of that contract. +**Whisper Voice** is a small act of sabotage against this trend. -It is built on the axiom that **your voice belongs to you**. By bringing state-of-the-art inference down from the server farms and running it on your own metal, we reclaim a small piece of the digital commons. This software answers to no one but you. It has no telemetry, no subscription, and no masters. +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 -This operates on the silicon. It is not a wrapper. It is a machine. +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 implementation via **CTranslate2**. Delivers **4x velocity** over standard PyTorch execution. | -| **Compression** | **INT8 quantization** | Enables Pro-grade models (`Large-v3`) to run on consumer hardware, democratizing access to high-fidelity AI. | -| **Sensory Gate** | **Silero VAD** | Enterprise-grade Voice Activity Detection filters out the noise, ensuring only intent is captured. | +| **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. |
-## 🌎 Universal Translator +## 🖋️ Universal Transcription -Whisper Voice v1.0.1 introduces a **Neural Translation Engine** built directly into the core. It bypasses the need for corporate translation APIs entirely. +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). + +
+ +## 🌎 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 in fluent **English**. -* **Local Execution**: No API keys. No data leaks. The translation happens on your GPU. +* **Output**: The engine instantly reconstructs the semantic meaning into fluent **English**. +* **Task Protocol**: Handled via the dedicated `F10` channel. -### Dual-Channel Workflow -The application listens on two separate channels simultaneously, allowing for seamless fluid switching between local and international communication. +### 🔍 Why only English translation? +A common question arises: *Why can't I translate from French to Japanese?* -* **F9 (Default)** -> **Transcribe**: Types exactly what you say, in the language you speak. -* **F10 (Default)** -> **Translate**: Translates whatever you say in *any* language into English. +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. --- @@ -110,7 +124,7 @@ Select the model that aligns with your available resources. --- -## � Supported Languages +## 🌐 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. @@ -123,7 +137,7 @@ The engine understands the following 99 languages. You can lock the focus to a s | Faroese 🇫🇴 | Finnish 🇫🇮 | Flemish 🇧🇪 | French 🇫🇷 | Galician 🇪🇸 | Georgian 🇬🇪 | | German 🇩🇪 | Greek 🇬🇷 | Gujarati 🇮🇳 | Haitian 🇭🇹 | Hausa 🇳🇬 | Hawaiian 🇺🇸 | | Hebrew 🇮🇱 | Hindi 🇮🇳 | Hungarian 🇭🇺 | Icelandic 🇮🇸 | Indonesian 🇮🇩 | Italian 🇮🇹 | -| Japanese 🇯🇵 | Javanese 🇮🇩 | Kannada 🇮🇳 | Kazakh 🇰🇿 | Khmer 🇰🇭 | Korean 🇰🇷 | +| 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 🇳🇴 |